Machine Learning in Medicine

This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.

Machine Learning in Medicine

Machine Learning in Medicine

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.

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Machine Learning in Medicine
Language: en
Pages: 265
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2013-02-12 - Publisher: Springer Science & Business Media

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research
Machine Learning in Medicine - a Complete Overview
Language: en
Pages: 516
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2015-03-27 - Publisher: Springer

The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of
Machine Learning in Medicine - Cookbook
Language: en
Pages: 137
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-01-03 - Publisher: Springer Science & Business Media

The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires,
Machine Learning in Medicine -- a Complete Overview
Language: en
Pages: 644
Authors: Ton J. M. Cleophas
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher:

Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector, and
Machine Learning in Medicine
Language: en
Pages: 320
Authors: Taylor & Francis Group
Categories: Artificial intelligence
Type: BOOK - Published: 2021-07 - Publisher: CRC Press

"Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several Computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade e.g., cancer detection, resulting in the development of several

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