First-ever all in one app for women diagnosed with PCOS!
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Updated
Sep 15, 2020 - Dart
First-ever all in one app for women diagnosed with 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.
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.
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…
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…
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.
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.
Code for Context-specific metabolic network model for PCOS with insulin resistance
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.
Algorithmic analysis on PolyCystic Ovarian Syndrome data
Explored and compared different algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest and Naive Bayes for the prediction of PCOS
PCOS Detection using DeepLearning
PCOS Prediction API
A website that predicts PCOS based on optimal and minimal clinical and metabolic parameters. The dataset is obtained from kaggle which is a patient survey of 541 women during consultation and clinical examination.
Identification for Key Pathways and Genes in Polycystic Ovary Syndrome (PCOS) using a multi-omics approach, as part of the Applied High Throughput Analysis course at Ghent University
a high-precision model as a cost-effective alternative for the early detection of PCOS, assisting medical professionals without relying on more invasive methods.
Online Poll Survey and Appointment
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