本书为读者提供了信息学和数据驱动的模型，用于发现适用于不同病例的个性化运动处方。由于生活方式、遗传和环境因素之间的复杂相互作用，过度诊断或过度治疗经常发生。据报道，运动和锻炼可以有效预防或降低疾病风险，但运动/锻炼和疾病之间的相互作用是个性化和复杂的。翻译信息学是一种强大的范式，它促进大数据、知识和模型的转移，以精确应用体育运动来预防疾病。运动和锻炼可能对多种疾病产生不同的影响，包括癌症、神经退行性疾病和心血管疾病等。本书涵盖了许多现代信息学模型，如本体论、知识图、区块链、参与式医学、语义人工智能、大数据建模等。它还描述了体育运动医学数据共享和标准化、数据隐私保护以及从基因组水平到生理表型水平的数据整合所面临的挑战。本书将有助于对体育和运动医学、医疗保健、大数据建模、医学和医疗保健中的人工智能感兴趣的读者。
Translational Informatics: Sports and Exercise Medicine
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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