Sex classification accuracy through machine learning algorithms - morphometric variables of human ear and nose.

Journal: BMC research notes
PMID: 40235014

Abstract

OBJECTIVE: Sex determination is an important parameter for personal identification in forensic and medico-legal examinations. The study aims at predicting sex accuracy from different parameters of ear and nose by using a novel approach of Machine Learning Library, 'PyCaret'.

Authors

  • Tej Kaur
    Institute of Forensic Science and Criminology, Panjab University, Sector-14, Chandigarh, India.
  • Kewal Krishan
    Department of Anthropology, (UGC Centre of Advanced Study), Panjab University, Sector-14, Chandigarh, India. kewalkrishan@pu.ac.in.
  • Akanksha Sharma
    Institute of Forensic Science and Criminology, Panjab University, Sector-14, Chandigarh, India.
  • Ankita Guleria
    Department of Anthropology, Panjab University, Chandigarh, India.
  • Vishal Sharma
    Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.

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