Interactive Knowledge Discovery And Data Mining In Biomedical Informatics

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3662439689
Total Pages : 357 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Interactive Knowledge Discovery and Data Mining in Biomedical Informatics by : Andreas Holzinger

Download or read book Interactive Knowledge Discovery and Data Mining in Biomedical Informatics written by Andreas Holzinger and published by Springer. This book was released on 2014-06-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Medical Informatics

Author : Hsinchun Chen
Publisher : Springer Science & Business Media
ISBN 13 : 038725739X
Total Pages : 656 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Medical Informatics by : Hsinchun Chen

Download or read book Medical Informatics written by Hsinchun Chen and published by Springer Science & Business Media. This book was released on 2006-07-19 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensively presents the foundations and leading application research in medical informatics/biomedicine. The concepts and techniques are illustrated with detailed case studies. Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

Biomedical Informatics

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3319045288
Total Pages : 551 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Biomedical Informatics by : Andreas Holzinger

Download or read book Biomedical Informatics written by Andreas Holzinger and published by Springer. This book was released on 2014-05-06 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is Biomedical Informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic and throughout the text, the reader finds several real-world examples, methodologies and ideas that complement the technical and theoretical background. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. At the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems.

Biomedical Data Mining for Information Retrieval

Author : Sujata Dash
Publisher : John Wiley & Sons
ISBN 13 : 1119711266
Total Pages : 450 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Biomedical Data Mining for Information Retrieval by : Sujata Dash

Download or read book Biomedical Data Mining for Information Retrieval written by Sujata Dash and published by John Wiley & Sons. This book was released on 2021-08-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

Machine Learning for Health Informatics

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3319504789
Total Pages : 481 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Machine Learning for Health Informatics by : Andreas Holzinger

Download or read book Machine Learning for Health Informatics written by Andreas Holzinger and published by Springer. This book was released on 2016-12-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Biomedical Informatics

Author : Andreas Holzinger
Publisher : BoD – Books on Demand
ISBN 13 : 3848222191
Total Pages : 370 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis Biomedical Informatics by : Andreas Holzinger

Download or read book Biomedical Informatics written by Andreas Holzinger and published by BoD – Books on Demand. This book was released on 2012 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Informatics is defined as an interdisciplinary field studying the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. To emphasize the broad character it is called Biomedical Informatics. The course LV 444.152 consists of the following 12 lectures: 1. Introduction: Computer Science meets Life Sciences, challenges and future directions; 2. Back to the future: Fundamentals of Data, Information and Knowledge; 3. Structured Data: Coding, Classification (ICD, SNOMED, MeSH, UMLS); 4. Biomedical Databases: Acquisition, Storage, Information Retrieval and Use; 5. Semi structured and weakly structured data; 6. Multimedia Data Mining and Knowledge Discovery; 7. Knowledge and Decision: Cognitive Science and Human-Computer Interaction; 8. Biomedical Decision Making: Reasoning and Decision Support; 9. Intelligent Information Visualization and Visual Analytics; 10. Biomedical Information Systems and Medical Knowledge Management; 11. Biomedical Data: Privacy, Safety and Security 12. Methodology for Information Systems: System Design, Usability and Evaluation

Brain Informatics and Health

Author : Yike Guo
Publisher : Springer
ISBN 13 : 3319233440
Total Pages : 459 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Brain Informatics and Health by : Yike Guo

Download or read book Brain Informatics and Health written by Yike Guo and published by Springer. This book was released on 2015-08-20 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2015, held in London, UK, in August/September 2015. The 42 full papers presented were carefully reviewed and selected from 82 submissions. Following the success of past conferences in this series, BIH 2015 has a strong emphasis on emerging trends of big data analysis and management technology for brain research, behavior learning, and real-world applications of brain science in human health and wellbeing.

Solving Large Scale Learning Tasks. Challenges and Algorithms

Author : Stefan Michaelis
Publisher : Springer
ISBN 13 : 3319417061
Total Pages : 387 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Solving Large Scale Learning Tasks. Challenges and Algorithms by : Stefan Michaelis

Download or read book Solving Large Scale Learning Tasks. Challenges and Algorithms written by Stefan Michaelis and published by Springer. This book was released on 2016-07-02 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.

Trends and Applications in Knowledge Discovery and Data Mining

Author : Mohadeseh Ganji
Publisher : Springer
ISBN 13 : 303004503X
Total Pages : 370 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Trends and Applications in Knowledge Discovery and Data Mining by : Mohadeseh Ganji

Download or read book Trends and Applications in Knowledge Discovery and Data Mining written by Mohadeseh Ganji and published by Springer. This book was released on 2018-12-11 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018. The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.

Towards Integrative Machine Learning and Knowledge Extraction

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3319697757
Total Pages : 207 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Towards Integrative Machine Learning and Knowledge Extraction by : Andreas Holzinger

Download or read book Towards Integrative Machine Learning and Knowledge Extraction written by Andreas Holzinger and published by Springer. This book was released on 2017-10-27 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

Brain Informatics and Health

Author : Dominik Slezak
Publisher : Springer
ISBN 13 : 3319098918
Total Pages : 597 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Brain Informatics and Health by : Dominik Slezak

Download or read book Brain Informatics and Health written by Dominik Slezak and published by Springer. This book was released on 2014-07-14 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2014, held in Warsaw, Poland, in August 2014, as part of 2014 Web Intelligence Congress, WIC 2014. The 29 full papers presented together with 23 special session papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on brain understanding; cognitive modelling; brain data analytics; health data analytics; brain informatics and data management; semantic aspects of biomedical analytics; healthcare technologies and systems; analysis of complex medical data; understanding of information processing in brain; neuroimaging data processing strategies; advanced methods of interactive data mining for personalized medicine.

Emerging Technologies in Computing

Author : Mahdi H. Miraz
Publisher : Springer Nature
ISBN 13 : 303060036X
Total Pages : 344 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Emerging Technologies in Computing by : Mahdi H. Miraz

Download or read book Emerging Technologies in Computing written by Mahdi H. Miraz and published by Springer Nature. This book was released on 2020-09-28 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the Third International Conference on Emerging Technologies in Computing, iCEtiC 2020, held in London, UK, in August 2020. Due to VOVID-19 pandemic the conference was helt virtually.The 25 revised full papers were reviewed and selected from 65 submissions and are organized in topical sections covering blockchain and cloud computing; security, wireless sensor networks and IoT; AI, big data and data analytics; emerging technologies in engineering, education and sustainable development.

Availability, Reliability, and Security in Information Systems

Author : Stephanie Teufel
Publisher : Springer
ISBN 13 : 3319109758
Total Pages : 311 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Availability, Reliability, and Security in Information Systems by : Stephanie Teufel

Download or read book Availability, Reliability, and Security in Information Systems written by Stephanie Teufel and published by Springer. This book was released on 2014-09-03 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of two workshops: the International Cross-Domain Conference and Workshop on Availability, Reliability and Security, CD-ARES 2014, and the 4th International Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2014, co-located with the International Conference on Availability, Reliability and Security, ARES 2014, held in Fribourg, Switzerland, in September 2014. The 23 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with knowledge management, software security, mobile and social computing, enterprise information systems, homeland security and information processing.

Magnetic Bubble Technology

Author : A. H. Eschenfelder
Publisher : Springer Science & Business Media
ISBN 13 : 3642965490
Total Pages : 328 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Magnetic Bubble Technology by : A. H. Eschenfelder

Download or read book Magnetic Bubble Technology written by A. H. Eschenfelder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic bubbles are of interest to engineers because their properties can be used for important practical electronic devices and they are of interest to physicists because their properties are manifestations of intriguing physical principles. At the same time, the fabrication of useful configurations challenges the materials scientists and engineers. A technology of magnetic bubbles has developed to the point where commercial products are being marketed. In addition, new discovery and development are driving this technology toward substantially lower costs and presumably broader application. For all of these reasons there is a need to educate newcomers to this field in universities and in industry. The purpose of this book is to provide a text for a one-semester course that can be taught under headings of Solid State Physics, Materials Science, Computer Technology or Integrated Electronics. It is expected that the student of anyone of these disciplines will be interested in each of the chapters of this book to some degree, but may concentrate on some more than others, depending on the discipline. At the end of each chapter there is a brief summary which will serve as a reminder of the contents of the chapter but can also be read ahead of time to determine the depth of your interest in the chapter.

Interactive Process Mining in Healthcare

Author : Carlos Fernandez-Llatas
Publisher : Springer Nature
ISBN 13 : 3030539938
Total Pages : 310 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Interactive Process Mining in Healthcare by : Carlos Fernandez-Llatas

Download or read book Interactive Process Mining in Healthcare written by Carlos Fernandez-Llatas and published by Springer Nature. This book was released on 2020-10-28 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients’ services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.

Smart Health

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3319162268
Total Pages : 275 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Smart Health by : Andreas Holzinger

Download or read book Smart Health written by Andreas Holzinger and published by Springer. This book was released on 2015-02-24 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

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.