aryashah2k/Prediction-Of-PCOS-Using-Optimized-ML-Classifiers

Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".

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This project helps medical researchers and healthcare professionals predict Polycystic Ovary Syndrome (PCOS). It takes patient data as input and uses optimized machine learning to identify the likelihood of PCOS, providing a predictive model for analysis. The primary users are researchers in women's health and clinicians looking for data-driven diagnostic support.

No commits in the last 6 months.

Use this if you are a medical researcher or clinician needing to analyze patient data to predict the presence of PCOS.

Not ideal if you are looking for a complete, production-ready diagnostic tool for direct patient use without further medical validation.

women's-health PCOS-diagnosis medical-research disease-prediction clinical-decision-support
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

22

Forks

4

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Dec 02, 2022

Commits (30d)

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