Tracking and Preventing Diseases with Artificial Intelligence

Author:   Mayuri Mehta ,  Philippe Fournier-Viger ,  Maulika Patel ,  Jerry Chun-Wei Lin
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   206
ISBN:  

9783030767310


Pages:   282
Publication Date:   09 August 2021
Format:   Hardback
Availability:   Not yet available   Availability explained
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Tracking and Preventing Diseases with Artificial Intelligence


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Overview

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.

Full Product Details

Author:   Mayuri Mehta ,  Philippe Fournier-Viger ,  Maulika Patel ,  Jerry Chun-Wei Lin
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   206
ISBN:  

9783030767310


ISBN 10:   3030767310
Pages:   282
Publication Date:   09 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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