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Translational informaticssports and exercise medicine /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Translational informaticsedited by Bairong Shen.
其他題名:	sports and exercise medicine /
其他作者:	Shen, Bairong.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	ix, 234 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Medical informatics.
電子資源:	https://doi.org/10.1007/978-981-16-9162-1
ISBN:	9789811691621$q(electronic bk.)

Translational informaticssports and exercise medicine /
Translational informaticssports and exercise medicine /[electronic resource] :edited by Bairong Shen. - Singapore :Springer Nature Singapore :2022. - ix, 234 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811691621$q(electronic bk.)

Standard No.: 10.1007/978-981-16-9162-1doiSubjects--Topical Terms:

196487
Medical informatics.

LC Class. No.: R858 / .T73 2022

Dewey Class. No.: 610.285

Translational informaticssports and exercise medicine /
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505 0 $a 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.
520 $a 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.
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