Data And Text Processing For Health And Life Sciences

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Data and Text Processing for Health and Life Sciences

Author : Francisco M Couto
Publisher :
ISBN 13 : 9781013274459
Total Pages : 106 pages
Book Rating : 4.2/5 (744 download)

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Book Synopsis Data and Text Processing for Health and Life Sciences by : Francisco M Couto

Download or read book Data and Text Processing for Health and Life Sciences written by Francisco M Couto and published by . This book was released on 2020-10-09 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application. The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies. Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Data and Text Processing for Health and Life Sciences

Author : Francisco M. Couto
Publisher : Springer
ISBN 13 : 3030138453
Total Pages : 98 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data and Text Processing for Health and Life Sciences by : Francisco M. Couto

Download or read book Data and Text Processing for Health and Life Sciences written by Francisco M. Couto and published by Springer. This book was released on 2019-06-10 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application. The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies. Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future.

Natural Language Processing in the Real World

Author : Jyotika Singh
Publisher : CRC Press
ISBN 13 : 1000902269
Total Pages : 393 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Natural Language Processing in the Real World by : Jyotika Singh

Download or read book Natural Language Processing in the Real World written by Jyotika Singh and published by CRC Press. This book was released on 2023-07-03 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.

Advances in Information Retrieval

Author : Joemon M. Jose
Publisher : Springer Nature
ISBN 13 : 3030454428
Total Pages : 709 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Advances in Information Retrieval by : Joemon M. Jose

Download or read book Advances in Information Retrieval written by Joemon M. Jose and published by Springer Nature. This book was released on 2020-04-10 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR – general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.

Model Based Inference in the Life Sciences

Author : David R. Anderson
Publisher : Springer Science & Business Media
ISBN 13 : 0387740759
Total Pages : 184 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Model Based Inference in the Life Sciences by : David R. Anderson

Download or read book Model Based Inference in the Life Sciences written by David R. Anderson and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces a science philosophy called "information theoretic" based on Kullback-Leibler information theory. It focuses on a science philosophy based on "multiple working hypotheses" and statistical models to represent them. The text is written for people new to the information-theoretic approaches to statistical inference, whether graduate students, post-docs, or professionals. Readers are however expected to have a background in general statistical principles, regression analysis, and some exposure to likelihood methods. This is not an elementary text as it assumes reasonable competence in modeling and parameter estimation.

Advances in Information Communication Technology and Computing

Author : Vishal Goar
Publisher : Springer Nature
ISBN 13 : 9811554218
Total Pages : 556 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Information Communication Technology and Computing by : Vishal Goar

Download or read book Advances in Information Communication Technology and Computing written by Vishal Goar and published by Springer Nature. This book was released on 2020-08-18 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2019), held at the Government Engineering College Bikaner, Bikaner, India, on 8–9 November 2019. It covers ICT-based approaches in the areas ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI and computational sustainability.

Open Source Software in Life Science Research

Author : Lee Harland
Publisher : Elsevier
ISBN 13 : 1908818247
Total Pages : 582 pages
Book Rating : 4.9/5 (88 download)

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Book Synopsis Open Source Software in Life Science Research by : Lee Harland

Download or read book Open Source Software in Life Science Research written by Lee Harland and published by Elsevier. This book was released on 2012-10-31 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: The free/open source approach has grown from a minor activity to become a significant producer of robust, task-orientated software for a wide variety of situations and applications. To life science informatics groups, these systems present an appealing proposition - high quality software at a very attractive price. Open source software in life science research considers how industry and applied research groups have embraced these resources, discussing practical implementations that address real-world business problems. The book is divided into four parts. Part one looks at laboratory data management and chemical informatics, covering software such as Bioclipse, OpenTox, ImageJ and KNIME. In part two, the focus turns to genomics and bioinformatics tools, with chapters examining GenomicsTools and EBI Atlas software, as well as the practicalities of setting up an ‘omics’ platform and managing large volumes of data. Chapters in part three examine information and knowledge management, covering a range of topics including software for web-based collaboration, open source search and visualisation technologies for scientific business applications, and specific software such as DesignTracker and Utopia Documents. Part four looks at semantic technologies such as Semantic MediaWiki, TripleMap and Chem2Bio2RDF, before part five examines clinical analytics, and validation and regulatory compliance of free/open source software. Finally, the book concludes by looking at future perspectives and the economics and free/open source software in industry. Discusses a broad range of applications from a variety of sectors Provides a unique perspective on work normally performed behind closed doors Highlights the criteria used to compare and assess different approaches to solving problems

Health Web Science

Author : Kerstin Denecke
Publisher : Springer
ISBN 13 : 331920582X
Total Pages : 168 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Health Web Science by : Kerstin Denecke

Download or read book Health Web Science written by Kerstin Denecke and published by Springer. This book was released on 2015-08-31 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media’s role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2.0, Medicine 2.0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.

Data Integration in the Life Sciences

Author : Sören Auer
Publisher : Springer
ISBN 13 : 3030060160
Total Pages : 218 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Data Integration in the Life Sciences by : Sören Auer

Download or read book Data Integration in the Life Sciences written by Sören Auer and published by Springer. This book was released on 2018-12-29 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications.

IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences

Author : Dino Quintero
Publisher : IBM Redbooks
ISBN 13 : 073845690X
Total Pages : 88 pages
Book Rating : 4.7/5 (384 download)

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Book Synopsis IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by : Dino Quintero

Download or read book IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences written by Dino Quintero and published by IBM Redbooks. This book was released on 2019-09-08 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Intelligent Systems in Healthcare and Disease Identification using Data Science

Author : Gururaj H L
Publisher : CRC Press
ISBN 13 : 1000962873
Total Pages : 274 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Systems in Healthcare and Disease Identification using Data Science by : Gururaj H L

Download or read book Intelligent Systems in Healthcare and Disease Identification using Data Science written by Gururaj H L and published by CRC Press. This book was released on 2023-10-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data, the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data, computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers, health informatics professionals, academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics, its history and area of practice, laws in health informatics, challenges and technologies in health informatics, applica- tion of informatics in various sectors and so on. Finally, the research avenues in health informatics along with some case studies are discussed.

Computational Life Sciences

Author : Jens Dörpinghaus
Publisher : Springer Nature
ISBN 13 : 303108411X
Total Pages : 593 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Computational Life Sciences by : Jens Dörpinghaus

Download or read book Computational Life Sciences written by Jens Dörpinghaus and published by Springer Nature. This book was released on 2023-03-04 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.

A Text Book of Child Health Nursing

Author : Dr.Kogila Palanimuthu
Publisher : SK Research Group of Companies
ISBN 13 : 8119980565
Total Pages : 124 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis A Text Book of Child Health Nursing by : Dr.Kogila Palanimuthu

Download or read book A Text Book of Child Health Nursing written by Dr.Kogila Palanimuthu and published by SK Research Group of Companies. This book was released on 2029-04-26 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.Kogila Palanimuthu, Associate Professor, Department of Pediatric and Child Health Nursing, Institute of Health Sciences, Dambi Dollo University, Oromia, Ethiopia, North East Africa.

Data Integration in the Life Sciences

Author : Marcos Da Silveira
Publisher : Springer
ISBN 13 : 331969751X
Total Pages : 109 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Data Integration in the Life Sciences by : Marcos Da Silveira

Download or read book Data Integration in the Life Sciences written by Marcos Da Silveira and published by Springer. This book was released on 2017-11-03 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Data Integration in the Life Sciences, DILS 2017, held in Luxembourg, in November 2017. The 5 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They cover topics such as: life science data modelling; analysing, indexing, and querying life sciences datasets; annotating, matching, and sharing life sciences datasets; privacy and provenance of life sciences datasets.

Healthcare Data Analytics

Author : Chandan K. Reddy
Publisher : CRC Press
ISBN 13 : 148223212X
Total Pages : 756 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Healthcare Data Analytics by : Chandan K. Reddy

Download or read book Healthcare Data Analytics written by Chandan K. Reddy and published by CRC Press. This book was released on 2015-06-23 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available

Internet of Things and Data Mining for Modern Engineering and Healthcare Applications

Author : Ankan Bhattacharya
Publisher : CRC Press
ISBN 13 : 100063678X
Total Pages : 280 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Internet of Things and Data Mining for Modern Engineering and Healthcare Applications by : Ankan Bhattacharya

Download or read book Internet of Things and Data Mining for Modern Engineering and Healthcare Applications written by Ankan Bhattacharya and published by CRC Press. This book was released on 2022-08-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on Internet of Things (IoT) and data mining for modern engineering and healthcare applications, recent technological advancements in microwave engineering and communication, and applicability of newly developed solid-state technologies in biomedical engineering and healthcare for day-to-day applications. The reader will be able to know the recent advancements in microwave engineering, including novel techniques in microwave antenna design and various aspects of microwave propagation. This book aims to showcase various aspects of communication, networking, data mining, computational biology, bioinformatics, biostatistics and machine learning. Day-to-day applicability of modern communication and networking technologies is a matter of prime concern. This book covers recent trends in solid-state technologies, VLSI and the applicability of modern electronic devices and biosensing devices in bioinformatics and smart healthcare. Furthermore, it showcases the modern optimization techniques in power system engineering and machine design and discusses the role of solid-state engineering in the development of modern electronic gadgets. Societal benefits of microwave technologies for smooth and hustle-free life are also majorly focused areas. This book will be of high interest to the researchers, academicians, scientists and industrialists as well who are involved in the role of IoT for modern engineering applications. Features: This book features Internet of Things (IoT) and data mining for modern engineering and healthcare applications, recent technological advancements in microwave engineering and communication, and applicability of newly developed solid-state technologies in biomedical engineering and smart healthcare technologies. It showcases the novel techniques in Internet of Things (IoT)-integrated microwave antenna design and various aspects of microwave communication. It highlights the role of Internet of Things (IoT) in various aspects of communication, networking, data mining, computational biology, bioinformatics, biostatistics and machine learning. It reviews the role of Internet of Things (IoT) in solid-state technologies and VLSI and the applicability of modern electronic devices in bioinformatics and healthcare. It highlights the role of Internet of Things (IoT) in power system engineering, optics, RF and microwave energy harvesting and smart biosensing technologies.