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Jana Kočí

Biographic Data

ID7863128
NAMEJana Kočí
GIVEN NAMESJana
FAMILY NAMEKočí
SIGNATUREKOČÍ J
AFFILIATIONSCharles University
ORCID0000-0003-4714-5285
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning

    Open Access•Diego A Bonilla, Isabel Adriana Sánchez Rojas et al.•ARTICLE•International Journal of…•2022

    The academic curriculum has shown to promote sedentary behavior in college students. This study aimed to profile the physical fitness of physical education majors using unsupervised machine learning and to identify the differences between sexes, academic years, socioeconomic strata, and the generated profiles. A total of 542 healthy and physically active students (445 males, 97 females; 19.8 [2.2] years; 66.0 [10.3] kg; 169.5 [7.8] cm) participat…

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  • Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning

    Open Access•Diego A Bonilla, Isabel Adriana Sánchez Rojas et al.•ARTICLE•International Journal of…•2022

    The academic curriculum has shown to promote sedentary behavior in college students. This study aimed to profile the physical fitness of physical education majors using unsupervised machine learning and to identify the differences between sexes, academic years, socioeconomic strata, and the generated profiles. A total of 542 healthy and physically active students (445 males, 97 females; 19.8 [2.2] years; 66.0 [10.3] kg; 169.5 [7.8] cm) participat…

Body mass index (1 works) · Cardiorespiratory fitness (1 works) · Cardiovascular and exercise physiology (1 works) · Cluster (spacecraft (1 works) · Cluster analysis (1 works) · Computer Science (1 works) · Demography (1 works) · Demography (1 works) · Gerontology (1 works) · Jump (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae