Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Author: Andreas Holzinger

Publisher: Springer

Published: 2014-06-17

Total Pages: 373

ISBN-13: 3662439689

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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.


Machine Learning for Health Informatics

Machine Learning for Health Informatics

Author: Andreas Holzinger

Publisher: Springer

Published: 2016-12-09

Total Pages: 503

ISBN-13: 3319504789

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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.


Advanced Data Analytics in Health

Advanced Data Analytics in Health

Author: Philippe J. Giabbanelli

Publisher: Springer

Published: 2018-04-20

Total Pages: 221

ISBN-13: 3319779117

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This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.


Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications

Author: Khalid Al-Jabery

Publisher: Academic Press

Published: 2019-11-20

Total Pages: 312

ISBN-13: 0128144831

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Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained. - Includes an overview of data analytics in biomedical applications and current challenges - Updates on the latest research in supervised learning algorithms and applications, clustering algorithms and cluster validation indices - Provides complete coverage of computational and statistical analysis tools for biomedical data analysis - Presents hands-on training on the use of Python libraries, MATLAB® tools, WEKA, SAP-HANA and R/Bioconductor


Genomic and Precision Medicine

Genomic and Precision Medicine

Author: Geoffrey S. Ginsburg

Publisher: Academic Press

Published: 2022-04-09

Total Pages: 379

ISBN-13: 0128006536

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Genomic and Precision Medicine: Oncology, Third Edition focuses on the applications of genome discovery as research points to personalized cancer therapies. Each chapter is organized to cover the application of genomics and personalized medicine tools and technologies to a) Risk Assessment and Susceptibility, b) Diagnosis and Prognosis, c) Pharmacogenomics and Precision Therapeutics, and d) Emerging and Future Opportunities in the field. - Provides a comprehensive volume written and edited by oncology genomic specialists for oncology health providers - Includes succinct commentary and key learning points that will assist providers with their local needs for implementation of genomic and personalized medicine into practice - Presents an up-to-date overview on major opportunities for genomic and personalized medicine in practice - Covers case studies that highlight the practical use of genomics in the management of patients


Data Mining in Bioinformatics

Data Mining in Bioinformatics

Author: Jason T. L. Wang

Publisher: Springer Science & Business Media

Published: 2005

Total Pages: 356

ISBN-13: 9781852336714

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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.


Information Technology in Bio- and Medical Informatics

Information Technology in Bio- and Medical Informatics

Author: M. Elena Renda

Publisher: Springer

Published: 2016-08-05

Total Pages: 258

ISBN-13: 3319439499

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This book constitutes the refereed proceedings of the 7th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2016, held in Porto, Portugal, in September 2016, in conjunction with DEXA 2016. The 9 revised long papers presented together with 11 poster papers were carefully reviewed and selected from 26 submissions. The papers address the following topics: biomedical data analysis and warehousing; information technologies in brain science; and social networks and process analysis in biomedicine.


Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction

Author: Andreas Holzinger

Publisher: Springer

Published: 2017-08-23

Total Pages: 383

ISBN-13: 3319668080

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This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics.


Information Technology in Bio- and Medical Informatics

Information Technology in Bio- and Medical Informatics

Author: Miroslav Bursa

Publisher: Springer

Published: 2014-08-19

Total Pages: 157

ISBN-13: 3319102656

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This book constitutes the refereed proceedings of the 5th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 9 revised long papers presented together with 3 short papers were carefully reviewed and selected from numerous submissions. The papers address the following topics: clustering and bioinformatics; medical image and data processing; and knowledge discovery and machine learning in medicine.


Hybrid Intelligent Systems

Hybrid Intelligent Systems

Author: Ajith Abraham

Publisher: Springer Nature

Published: 2021-04-16

Total Pages: 817

ISBN-13: 3030730506

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This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.