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pcos 开源项目推荐(74 个)
pcos 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 74 个仓库PCOS Detection using DeepLearning
该项目在 GitHub 上没有填写描述
First-ever all in one app for women diagnosed with PCOS!
a high-precision model as a cost-effective alternative for the early detection of PCOS, assisting medical professionals without relying on more invasive methods.
A project dedicated to PCOS , which is so common diseases yet not know. September is the PCOS awareness month and with this project I tried to create some awareness.
This project is a part of the research on PolyCystic Ovary Syndrome Diagnosis using patient history datasets through statistical feature selection and multiple machine learning strategies. The aim of this project was to identify the best possible features that strongly classifies PCOS in patients of different age and conditions.
This repository contains all material related to the project done as a part of the course Algorithmic Approaches to Computational Biology (CS6024) in the Fall 2020 semester.
Polycystic Ovary Syndrome (PCOS) is a widespread pathology that affects many aspects of women's health, with long-term consequences beyond the reproductive age. The wide variety of clinical referrals, as well as the lack of internationally accepted diagnostic procedures, have had a significant impact on making it difficult to determine the exact…
Harmony Hormones is an AI-powered platform focused on women's health and well-being. It offers a personalized period calendar, care routines through Flow AI, and expert menstrual health guidance with Maitri AI, powered by CopilotKit.
PCOS & period tracking app for Indian women — regional diet plans, symptom tracker, multilingual support
PCOS Prediction API
PCOS Subtype Discovery & Clustering Robustness Analysis - Reproduces Nature Medicine (2025) research on identifying clinically distinct PCOS subtypes using unsupervised learning
Explored and compared different algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest and Naive Bayes for the prediction of PCOS
This project is a part of the research on PolyCystic Ovary Syndrome Diagnosis using patient history datasets through statistical feature selection and multiple machine learning strategies. The aim of this project was to identify the best possible features that strongly classifies PCOS in patients of different age and conditions.
A PowerBI dashboard styled as an infographic. A 2023 case study of PCOS (Polycystic Ovary Syndrome) and it's symptoms.
Online Poll Survey and Appointment
This project builds a PCOS (Polycystic Ovary Syndrome) prediction model using inexpensive clinical and non-clinical symptoms from a medical dataset. The model applies Logistic Regression to analyze correlations between key health indicators and predict whether a patient has PCOS.
A project dedicated to PCOS , which is so common diseases yet not know. September is the PCOS awareness month and with this project I tried to create some awareness.
Early detection of PCOS using a hybrid BiLSTM-GRU-CNN model with feature selection, data augmentation (ADASYN), and explainable AI techniques.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/pcos。
- 该话题在 GitHub 上共有 74 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 180 Star,覆盖 6 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。