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Title
Translational informatics : sports and exercise medicine / Bairong Shen, editor.
ISBN
9789811691621 (electronic bk.)
9811691622 (electronic bk.)
9811691614
9789811691614
Imprint
Singapore : Springer, 2022.
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-981-16-9162-1 doi
Call Number
R858
Dewey Decimal Classification
610.285
Summary
The book provides readers the informatics and data-driven models for the discovery of personalized excise prescriptions applied to different cases. Overdiagnosis or over-treatment often happened since the complex interaction among the lifestyle, genetic, and environmental factors. Sports and exercise are reported efficient to prevent or reduce the risk of diseases, but the interactions between sports/exercise and disease are personalized and complex. Translational informatics is a powerful paradigm and it promotes the transfer of big data, knowledge and models to the precision application of sports to prevent diseases. Sports and exercise may have different effects on diverse diseases including cancers, neurodegenerative disease, and cardiovascular diseases, etc. This book covers many modern informatics models such as ontologies, knowledge graphs, blockchain, participatory medicine, semantic artificial intelligence, big data modeling, and so on. It also describes the challenges for the sports and exercise medical data sharing and standardization, the privacy protection of data as well as the integration of data from genomic level to physiological phenotype level. This book will be helpful to the readers who are interesting in sports and exercise medicine, healthcare, big data modeling, artificial intelligence in medicine and healthcare.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 6, 2022).
Available in Other Form
Print version: 9789811691614
Chapter 1. Ontologies and Knowledge Graphs for Exercise Medicine
Chapter 2. Participatory exercise medicine and personalized healthcare
Chapter 3. Integration of genetic and phenotyping data for sports medicine
Chapter 4. Microbiota, sports and exercise medicine
Chapter 5. Human immune system and exercise medicine: current process and future directions
Chapter 6. Circadian Rhythm and Personalized Exercise
Chapter 7. Data-driven Exercise Medicine for Cardiovascular Disease
Chapter 8. Physical Activities and Prevention of Neurodegenerative Diseases
Chapter 9. Exercise guidelines for cancer patients
Chapter 10. Diabetes as a metabolic disease and translational exercise medicine informatics.
