Precision Health and Medicine: A Digital Revolution in Healthcare
Author:   Arash Shaban-Nejad ,  Martin Michalowski
Publisher:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   843
ISBN:  

9783030244118


Pages:   197
Publication Date:   25 August 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Precision Health and Medicine: A Digital Revolution in Healthcare


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Overview

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Full Product Details

Author:   Arash Shaban-Nejad ,  Martin Michalowski
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2020 ed.
Volume:   843
Weight:   0.343kg
ISBN:  

9783030244118


ISBN 10:   3030244113
Pages:   197
Publication Date:   25 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention.- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring.- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry.- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.

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