Computational Intelligence Techniques for Assessing Anthropometric Indices Changes in Female Athletes.

Journal: Current medical imaging
PMID: 32410532

Abstract

BACKGROUND: Physical characteristics including body size and configuration, are considered as one of the key influences on the optimum performance in athletes. Despite several analyzing methods for modeling the slimming estimation in terms of reduction in anthropometric indices, there are still weaknesses of these models such as being very demanding including time taken for analysis and accuracy.

Authors

  • Mahnaz Kazemipoor
    Department of Science & Technology Studies, Faculty of Science, University of Malaya, 50603 Kuala Lumpur Malaysia.
  • Mehdi Rezaeian
    Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
  • Maryam Kazemipoor
    Department of Endodontics, Faculty of Dentistry, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Sareena Hamzah
    Sports Centre, University of Malaya, Kuala Lumpur 50603, Malaysia.
  • Shishir Kumar Shandilya
    Department of Computer Science & Engineering, NRI Institute of Information Science and Technology, Bhopal, India.

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