Data Mining In Clinical Medicine

Author : Carlos Fernández Llatas
Publisher : Humana Press
ISBN 13 : 9781493919840
Total Pages : 0 pages
Book Rating : 4.49/5 ( download)

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Download or read book Data Mining in Clinical Medicine written by Carlos Fernández Llatas and published by Humana Press. This book was released on 2014-11-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.

Author : Krzysztof J. Cios
Publisher : Physica
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.17/5 ( download)

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Download or read book Medical Data Mining and Knowledge Discovery written by Krzysztof J. Cios and published by Physica. This book was released on 2001-01-12 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.

Author : Berka, Petr
Publisher : IGI Global
ISBN 13 : 1605662194
Total Pages : 464 pages
Book Rating : 4.90/5 ( download)

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Download or read book Data Mining and Medical Knowledge Management: Cases and Applications written by Berka, Petr and published by IGI Global. This book was released on 2009-02-28 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

Author : Irwin Epstein
Publisher : Oxford University Press
ISBN 13 : 019533552X
Total Pages : 241 pages
Book Rating : 4.21/5 ( download)

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Download or read book Clinical Data-Mining written by Irwin Epstein and published by Oxford University Press. This book was released on 2010 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection. Depending upon the type of data mined, CDM can be qualitative or quantitative; it is generally retrospective, but may be meaningfully combined with original data collection.Any research method that relies on the contents of case records or information systems data inevitably has limitations, but with proper safeguards these can be minimized. Among CDM's strengths however, are that it is unobtrusive, inexpensive, presents little risk to research subjects, and is ethically compatible with practitioner value commitments. When conducted by practitioners, CDM yields conceptual as well as data-driven insight into their own practice- and program-generated questions.This pocket guide, from a seasoned practice-based researcher, covers all the basics of conducting practitioner-initiated CDM studies or CDM doctoral dissertations, drawing extensively on published CDM studies and completed CDM dissertations from multiple social work settings in the United States, Australia, Israel, Hong Kong and the United Kingdom. In addition, it describes consulting principles for researchers interested in forging collaborative university-agency CDM partnerships, making it a practical tool for novice practitioner-researchers and veteran academic-researchers alike.As such, this book is an exceptional guide both for professionals conducting practice-based research as well as for social work faculty seeking an evidence-informed approach to practice-research integration.

Author : Carlos Fernández-Llatas
Publisher : Humana
ISBN 13 : 9781493954742
Total Pages : 0 pages
Book Rating : 4.41/5 ( download)

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Download or read book Data Mining in Clinical Medicine written by Carlos Fernández-Llatas and published by Humana. This book was released on 2016-09-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.

Author : Irwin Epstein
Publisher : Routledge
ISBN 13 : 0789017083
Total Pages : 209 pages
Book Rating : 4.86/5 ( download)

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Download or read book Clinical Data-Mining in Practice-Based Research written by Irwin Epstein and published by Routledge. This book was released on 2001 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book will show you how to use existing patient records to do original research so you can custom-tailor programs to fit the specific needs of your department. Clinical Data-Mining in Practice-Based Research draws from the experiences of members of the Mount Sinai Department of Social Work staff. By analyzing case data, these professionals were able to identify biopsychosocial factors that affected social-health outcomes, and therefore to assess, maintain, and improve the quality of social work services. The detailed discussions in this book will help you apply these techniques toward improving your own service.

Author : Malek Masmoudi
Publisher : Springer
ISBN 13 : 9783030452421
Total Pages : 195 pages
Book Rating : 4.25/5 ( download)

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Download or read book Artificial Intelligence and Data Mining in Healthcare written by Malek Masmoudi and published by Springer. This book was released on 2022-02-09 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Author : Cerrito, Patricia
Publisher : IGI Global
ISBN 13 : 1615209069
Total Pages : 370 pages
Book Rating : 4.64/5 ( download)

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Download or read book Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis written by Cerrito, Patricia and published by IGI Global. This book was released on 2010-06-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book shows how the investigation of healthcare databases can be used to examine physician decisions to develop evidence-based treatment guidelines that optimize patient outcomes"--Provided by publisher.

Author : Sujata Dash
Publisher : John Wiley & Sons
ISBN 13 : 111971124X
Total Pages : 450 pages
Book Rating : 4.47/5 ( download)

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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 2021-08-24 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.

Author : Cerrito, Patricia
Publisher : IGI Global
ISBN 13 : 1615207244
Total Pages : 464 pages
Book Rating : 4.44/5 ( download)

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Download or read book Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks written by Cerrito, Patricia and published by IGI Global. This book was released on 2010-02-28 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Because so much data is now becoming readily available to investigate health outcomes, it is important to examine just how statistical models are used to do this. This book studies health outcomes research using data mining techniques"--Provided by publisher.