This is a stress-relieving website project made for the hackathon Hackofiesta. This project is under the theme Healthcare.

🥉 (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.

A reminder app which can store medicines for multiple users. Works totally offline without internet connection.

Awesome List of Digital and Computational Pathology Resources

EHR Management Using Blockchain

This project aims to develop D-App for managing healthcare records

This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.

uBER for AMbulance

A javascript module for setting up and configuring your SPA

A android app designed to assist the caregiver of the elderly in their work and in their self care

DiseaseControl is a disease control platform that facilitates end-to-end tracking of disease cases and resolutions keeping all nodes involved

HearTrans is a Capstone Project. The web app is to help transgender, intersex, and gender nonconforming individuals to find medical providers and locations.

Explore our open-source repository focused on healthcare machine learning. We've developed predictive models for cardiovascular disease, diabetes, breast cancer, and more. Our projects employ diverse machine learning algorithms and data science techniques, enhancing early detection, diagnosis, and patient outcomes.

Machine Learning in Genomics and Healthcare (COMP 565) Project

Topic: Understanding the information technology infrastructure of Tien Giang General Hospital.

Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository

인공지능 알약검색 서비스 - 이게모약

Predict 42 common diseases based on any 5 prominent symptoms among the 132 common symptoms given in the dataset. Get to know if you are affected with Malaria using your red blood cell image, among two classes: Infected and Uninfected. Classify the brain MRI reports into 4 classes: Glioma, Meningioma, Pituitary and No-Tumour. Later Segment the br…

Welcome to the NACSCOP Data Collection Tools - Indicator Selection Model repository! This project aims to provide an unbiased approach to select the appropriate indicator for data collection and reporting during the transition period when two sets of tools are in use.

Plone field for FHIR implementation