Artificial Intelligence And Machine Learning In Healthcare

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Artificial Intelligence And Machine Learning In Healthcare

Author : Arman Kilic
ISBN : 9780128225196
Genre : Business & Economics
File Size : 45.1 MB
Format : PDF, ePub
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Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation. This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare. Provides an overview of AI and ML to the medical practitioner who may not be well versed in these fields Encompasses a thorough review of what has been accomplished and demonstrated recently in the fields of AI and ML in healthcare Discusses the future of AI and ML in healthcare, with a review of possible wearable technology and software and how they may be used for medical care
Category: Business & Economics
Artificial Intelligence and Machine Learning in Healthcare
Language: en
Pages: 300
Authors: Arman Kilic, Artur Dubrawski
Categories: Business & Economics
Type: BOOK - Published: 2022-06-01 - Publisher: Academic Press

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in
Machine Learning and AI for Healthcare
Language: en
Pages: 368
Authors: Arjun Panesar
Categories: Computers
Type: BOOK - Published: 2019-02-04 - Publisher: Apress

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of
Artificial Intelligence and Machine Learning in Public Healthcare
Language: en
Pages: 74
Authors: KC Santosh, Loveleen Gaur
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common
Artificial Intelligence in Healthcare
Language: en
Pages: 378
Authors: Adam Bohr, Kaveh Memarzadeh
Categories: Computers
Type: BOOK - Published: 2020-07-10 - Publisher: Academic Press

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The
Artificial Intelligence for Information Management: A Healthcare Perspective
Language: en
Pages: 329
Authors: K. G. Srinivasa, Siddesh G. M., S. R. Mani Sekhar
Categories: Technology & Engineering
Type: BOOK - Published: 2021-05-20 - Publisher: Springer Nature

This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The