Swarm Intelligence And Evolutionary Algorithms In Healthcare And Drug Development

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Author : Sandeep Kumar
Publisher : CRC Press
ISBN 13 : 1000726797
Total Pages : 169 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development by : Sandeep Kumar

Download or read book Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development written by Sandeep Kumar and published by CRC Press. This book was released on 2019-11-11 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Author : Sandeep Kumar
Publisher : CRC Press
ISBN 13 : 1000727033
Total Pages : 121 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development by : Sandeep Kumar

Download or read book Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development written by Sandeep Kumar and published by CRC Press. This book was released on 2019-11-11 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Author : Mark Chang
Publisher : CRC Press
ISBN 13 : 1000766721
Total Pages : 372 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by : Mark Chang

Download or read book Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare written by Mark Chang and published by CRC Press. This book was released on 2020-05-07 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Artificial Intelligence and Machine Learning in Drug Design and Development

Author : Abhirup Khanna
Publisher : John Wiley & Sons
ISBN 13 : 1394234163
Total Pages : 677 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Drug Design and Development by : Abhirup Khanna

Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-07-18 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

Evolutionary Intelligence for Healthcare Applications

Author : T. Ananth Kumar
Publisher : CRC Press
ISBN 13 : 1000834131
Total Pages : 136 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Evolutionary Intelligence for Healthcare Applications by : T. Ananth Kumar

Download or read book Evolutionary Intelligence for Healthcare Applications written by T. Ananth Kumar and published by CRC Press. This book was released on 2022-11-23 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Author : Mark Chang
Publisher : CRC Press
ISBN 13 : 1000767302
Total Pages : 235 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by : Mark Chang

Download or read book Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare written by Mark Chang and published by CRC Press. This book was released on 2020-05-12 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Swarm Intelligence and Machine Learning

Author : Shikha Agarwal
Publisher : CRC Press
ISBN 13 : 1000737616
Total Pages : 228 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Swarm Intelligence and Machine Learning by : Shikha Agarwal

Download or read book Swarm Intelligence and Machine Learning written by Shikha Agarwal and published by CRC Press. This book was released on 2022-09-29 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Connected e-Health

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 3030979296
Total Pages : 487 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Connected e-Health by : Sushruta Mishra

Download or read book Connected e-Health written by Sushruta Mishra and published by Springer Nature. This book was released on 2022-05-05 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: With rise of smart medical sensors, cloud computing and the health care technologies, “connected health” is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

Evolutionary Intelligence for Healthcare Applications

Author : T. Ananth Kumar
Publisher : CRC Press
ISBN 13 : 1000834166
Total Pages : 127 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Evolutionary Intelligence for Healthcare Applications by : T. Ananth Kumar

Download or read book Evolutionary Intelligence for Healthcare Applications written by T. Ananth Kumar and published by CRC Press. This book was released on 2022-11-23 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Evolutionary and Swarm Intelligence Algorithms

Author : Jagdish Chand Bansal
Publisher : Springer
ISBN 13 : 3319913417
Total Pages : 190 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Evolutionary and Swarm Intelligence Algorithms by : Jagdish Chand Bansal

Download or read book Evolutionary and Swarm Intelligence Algorithms written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-06-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Proceedings of Third International Conference on Sustainable Computing

Author : Ramesh Chandra Poonia
Publisher : Springer Nature
ISBN 13 : 9811645388
Total Pages : 588 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Third International Conference on Sustainable Computing by : Ramesh Chandra Poonia

Download or read book Proceedings of Third International Conference on Sustainable Computing written by Ramesh Chandra Poonia and published by Springer Nature. This book was released on 2022-01-04 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. It covers topics like Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport management; intelligent cognitive and bio-inspired computing and management science. The book is useful for peoples from academia, government bodies, healthcare and industry to discuss their future scope.

Fog Computing for Healthcare 4.0 Environments

Author : Sudeep Tanwar
Publisher : Springer Nature
ISBN 13 : 3030461971
Total Pages : 621 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Fog Computing for Healthcare 4.0 Environments by : Sudeep Tanwar

Download or read book Fog Computing for Healthcare 4.0 Environments written by Sudeep Tanwar and published by Springer Nature. This book was released on 2020-08-02 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4.0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy.

Swarm Intelligence and Machine Learning

Author : Shikha Agarwal
Publisher : CRC Press
ISBN 13 : 9781000737660
Total Pages : 0 pages
Book Rating : 4.7/5 (376 download)

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Book Synopsis Swarm Intelligence and Machine Learning by : Shikha Agarwal

Download or read book Swarm Intelligence and Machine Learning written by Shikha Agarwal and published by CRC Press. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Machine Learning in Signal Processing

Author : Sudeep Tanwar
Publisher : CRC Press
ISBN 13 : 1000487792
Total Pages : 388 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning in Signal Processing by : Sudeep Tanwar

Download or read book Machine Learning in Signal Processing written by Sudeep Tanwar and published by CRC Press. This book was released on 2021-12-10 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Emerging Research on Swarm Intelligence and Algorithm Optimization

Author : Shi, Yuhui
Publisher : IGI Global
ISBN 13 : 1466663294
Total Pages : 369 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Emerging Research on Swarm Intelligence and Algorithm Optimization by : Shi, Yuhui

Download or read book Emerging Research on Swarm Intelligence and Algorithm Optimization written by Shi, Yuhui and published by IGI Global. This book was released on 2014-07-31 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 331913826X
Total Pages : 295 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Recent Advances in Swarm Intelligence and Evolutionary Computation by : Xin-She Yang

Download or read book Recent Advances in Swarm Intelligence and Evolutionary Computation written by Xin-She Yang and published by Springer. This book was released on 2014-12-27 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

Artificial Intelligence in Precision Health

Author : Debmalya Barh
Publisher : Academic Press
ISBN 13 : 0128173386
Total Pages : 544 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Precision Health by : Debmalya Barh

Download or read book Artificial Intelligence in Precision Health written by Debmalya Barh and published by Academic Press. This book was released on 2020-03-04 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support