Machine Learning in Healthcare

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MACHINE LEARNING IN HEALTHCARE is a comprehensive guide on using machine learning techniques to handle and manage healthcare data. This book explains how to cope with long-standing problems in healthcare informatics. Machine Learning in Healthcare teaches you how to use machine learning in your business and assess its effectiveness, appropriateness, and efficiency. These points are highlighted in a case study that looks at how patient-led data learning and the Internet of Things are redefining chronic illness. This book takes you on a journey through machine learning techniques, architectural design, and healthcare applications. The ethical implications of machine learning in healthcare, as well as the future of machine learning in population and patient health optimization, will be explored by the readers. This book may also aid in the development of a machine learning model, its performance assessment, and the operationalization of its results inside companies. It is particularly relevant to the healthcare industry and may appeal to computer science/information technology professionals and researchers working in the field of machine learning. The book is a one-of-a-kind attempt to reflect a wide range of methods for representing, enhancing, and empowering multidisciplinary and multi-institutional machine learning research in healthcare. NOW IS THE TIME TO GET YOUR COPY.

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Pages: 226, Edition: 1, Paperback, CRC Press