Learning from machine learning: prediction of age-related athletic performance decline trajectories.

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作者： Christoph,Hoog Antink ^[1] ; Anne K,Braczynski ^[2] ; Bergita,Ganse ^[3]

作者单位： TU Darmstadt, Biomedical Engineering (KIS*MED), Darmstadt, Germany. ^[1] Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany. ^[2] Institut für physikalische Biologie, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany. ^[3] Innovative Implant Development, Department of Surgery, Saarland University, Homburg, Germany. Bergita.ganse@uks.eu. ^[4] Department of Trauma, Hand and Reconstructive Surgery, Saarland University, Homburg, Germany. Bergita.ganse@uks.eu. ^[5]

关键词 Ageing Artificial intelligence Big data Longevity Prediction Track and field

主题词竞技能力(Athletic Performance);人类(Humans)

DOI 10.1007/s11357-021-00411-4

PMID 34241807

发布时间 2022-02-25

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2021年43卷5期

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Learning from machine learning: prediction of age-related athletic performance decline trajectories.

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