A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.

A sophisticated smart symptom search engine

A curated list of Federated Learning papers/articles and recent advancements.

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"

Power Pop Health is a collection of content intended to simplify the process of ingesting and prepping Healthcare Open Data using Azure data tools and Power BI. Moving forward the overarching theme will be data related to Population Health, but other sources pertinent to Healthcare will also be included.

Embedded Vision for Baby Behavior Monitoring in IoT

DataSynthesis Platform - Synthetic data building, generating platform for multiple business types

Data sets for the healthyR package.

CMSC389I Fall 2018 @ UMD

Deep learning models for classifying ECG time series

A data parsing script and API providing UK Dictionary of Medicines and Devices (DM+D) data linked to the Global Trade Identification Number (GTIN) of a product.

Synthetic health dataset generator

Data Science tutorials authored by me. Will be updated as I create them/learn them!

A Vietnamese dataset of over 12 thousands questions about common disease symptoms. Perfect for researchers and developers building Vietnamese healthcare chatbots or disease prediction models.

Short scripts to demonstrate data available from MolecularMatch API (api key needed). Data includes clinical trials, drugs, publications, molecular information, bioinformatics, report generation and more.

This dataset contains the sign and symptom data of newly diabetic or would-be diabetic patients. The data were collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh, and approved by a doctor.

A simple flask based app for use in healthcare

This is a repository of links and files with citations of available datasets.

Unlock insights into the U.S. healthcare landscape from 2019 to 2020. Our PowerBI-driven analysis delves into hospital performance, patient outcomes, and payer-provider dynamics. Dive into detailed reports and visualizations for informed decision-making, empowering healthcare stakeholders, and shaping the industry's future.