Unsupervised Machine Learning in Countermovement Jump and Isometric Mid-Thigh Pull Performance Produces Distinct Combat and Physical Fitness Clusters in Male and Female U.S. Marine Corps Recruits

Several challenges face the U.S. Marine Corps (USMC) and other services in their efforts to design recruit training to augment warfighter mobility and resilience in both male and female recruits as part of an integrated model. Strength and power underpin many of the physical competencies required to...

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Veröffentlicht in:	Military medicine 2024-06, Vol.189 (Supplement_2), p.38-46
Hauptverfasser:	Peterson, Patrick A, Lovalekar, Mita, Cruz, Debora E, Steele, Elizabeth, McFadden, Bridget, Cintineo, Harry, Arent, Shawn M, Nindl, Bradley C
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Cluster Analysis Exercise Test - methods Exercise Test - standards Exercise Test - statistics & numerical data Female Humans Male Military Personnel - statistics & numerical data Muscle Strength - physiology Physical Fitness - physiology Thigh - physiology United States Unsupervised Machine Learning
Online-Zugang:	Volltext
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