书目名称 | Tracking and Preventing Diseases with Artificial Intelligence | 编辑 | Mayuri Mehta,Philippe Fournier-Viger,Jerry Chun-We | 视频video | | 概述 | Provides an overview of artificial intelligence techniques, specifically machine learning and deep learning techniques, for tracking and preventing diseases.Is an introduction to “Tracking and Prevent | 丛书名称 | Intelligent Systems Reference Library | 图书封面 |  | 描述 | .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 itsuse 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 th | 出版日期 | Book 2022 | 关键词 | Medical Image Analysis; Artificial Intelligence; Machine Learning; Disease Prevention; Disease Detection | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-76732-7 | isbn_softcover | 978-3-030-76734-1 | isbn_ebook | 978-3-030-76732-7Series ISSN 1868-4394 Series E-ISSN 1868-4408 | issn_series | 1868-4394 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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