Development of a Preliminary Screening Tool for Predicting Polycystic Ovarian Syndrome using Machine Learning and Deep Learning Models with Non Invasive Qualitative Features: A Case-control Study

Development of a Preliminary Screening Tool for Predicting Polycystic Ovarian Syndrome using Machine Learning and Deep Learning Models with Non Invasive Qualitative Features: A Case-control Study

Introduction: Polycystic Ovarian Syndrome (PCOS) is a prevalent endocrine disorder affecting women of reproductive age, characterised by irregular menstrual cycles, hyperandrogenism and polycystic ovaries. Despite its high prevalence, the diagnosis of PCOS remains challenging due to the variability...

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Bibliographic Details
Main Authors: Hanumanth Narni, Vasudeva Rao Ananthasetty, SD Jilani
Format: Article
Language:English
Published: JCDR Research and Publications Private Limited 2024-12-01
Series:Journal of Clinical and Diagnostic Research
Subjects:
feedforward neural network
hirsutism
irregular cycles
random forest
Online Access:https://www.jcdr.net/articles/PDF/20403/75199_CE[Ra1]_F(IS)_QC(PS_OM)_PF1(AG_OM)_PFA(IS)_PN(IS).pdf
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