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007			cr nn 008mamaa
008			220422s2022 si | o |||| 0|eng d
020			_a9789811691621
024	7		_a10.1007/978-981-16-9162-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR858 _b2022 EB
245	0	0	_aTranslational Informatics : _bSports and Exercise Medicine _cedited by Bairong Shen
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 234 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aChapter 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			_aThe 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. .
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9421154 _aInformática médica
650		7	_2embne _9138384 _aMedicina deportiva
700	1		_aShen, Bairong _eeditor literario _986302
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811691614
776	0	8	_iPrinted edition: _z9789811691638
776	0	8	_iPrinted edition: _z9789811691645
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9162-1 _z Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eb _zSI