Machine Learning in Medicine a Complete Overview

The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector.

Machine Learning in Medicine   a Complete Overview

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 health and health care. In eighty chapters eighty different machine learning methodologies are reviewed, in combination with data examples for self-assessment. Each chapter can be studied without the need to consult other chapters. The amount of data stored in the world's databases doubles every 20 months, and clinicians, familiar with traditional statistical methods, are at a loss to analyze them. Traditional methods have, indeed, difficulty to identify outliers in large datasets, and to find patterns in big data and data with multiple exposure / outcome variables. In addition, analysis-rules for surveys and questionnaires, which are currently common methods of data collection, are, essentially, missing. Fortunately, the new discipline, machine learning, is able to cover all of these limitations. So far medical professionals have been rather reluctant to use machine learning. Also, in the field of diagnosis making, few doctors may want a computer checking them, are interested in collaboration with a computer or with computer engineers. Adequate health and health care will, however, soon be impossible without proper data supervision from modern machine learning methodologies like cluster models, neural networks and other data mining methodologies. Each chapter starts with purposes and scientific questions. Then, step-by-step analyses, using data examples, are given. Finally, a paragraph with conclusion, and references to the corresponding sites of three introductory textbooks, previously written by the same authors, is given.

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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 Two
Language: en
Pages: 140
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-05-27 - Publisher: Springer

The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods
Machine Learning in Medicine - Cookbook Three
Language: en
Pages: 131
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-10-29 - Publisher: Springer

Unique features of the book involve the following. 1.This book is the third volume of a three volume series of cookbooks entitled "Machine Learning in Medicine - Cookbooks One, Two, and Three". No other self-assessment works for the medical and health care community covering the field of machine learning have
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
Language: en
Pages: 312
Authors: Ayman El-Baz, Jasjit S. Suri
Categories: Computers
Type: BOOK - Published: 2021-08-04 - 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