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Polycystic Ovary Syndrome Classification Based on Machine Learning Techniques: A Comparative Analysis

  • Nancy Girdhar*
  • , Priya Singh
  • , Tisha Singhal
  • *Corresponding author for this work
  • Amity University, Noida

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Original languageEnglish
Title of host publicationApplied Intelligence for Medical Image Analysis
Publication statusPublished - 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Machine Learning
  • Polycystic Ovary Syndrome
  • Classification

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