A distributed system to manage access permissions of electronic health records through smart contracts.

Software suite which extracts key information from medical discharge summaries

MedShare: A Novel Hybrid Cloud for Medical Resource Sharing among Autonomous Healthcare Providers

Code used in the Preoperative Surgical Risk Prediction project/paper

Biological and vital parameters trajectories visualization tool

MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.

Using Machine Learning and the Electronic Health Record to Predict Complicated Clostridium difficile Infection. https://doi.org/10.1093/ofid/ofz186

Blockchains for electronic health records.

Prediction of hospital stay duration in heart failure patients using machine learning.

Basic Patient resource browser to provide visibility into your FHIR servers.

An experiment in creating a (mostly) formally verified, domain specific markup language for electronic patient records and patient modeling.

COPRA: Constrained Prominence Adversarial Attack and Defense on Sparse and Discrete Clinical Data

Code and Datasets for the paper "DG-Viz: Deep Visual Analytics with Domain Knowledge Guided Recurrent Neural Networks on Electronic Health Records", published on Journal of Medical Internet Research (JMIR) in 2020.

This project aims to make predictions of stroke cases based on simple health data. Supervised machine learning algorithm was used after processing and analyzing the data. The model has predicted Stroke cases with 92.00% of sensitivity.

Rails API back-end for Theurgy. For use with JavaScript front-end.

Clinical Named Entity Recognition for EHR

Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021

A rails web application for managing and tracking mental health treatment.

Revolutionize healthcare data management with our EHR system built on Next.js, Prisma, MongoDB, and NextAuth. Experience seamless navigation and robust security through role-based authentication, ensuring precise access controls for healthcare professionals. Elevate efficiency and reliability in patient care with our state-of-the-art solution

Graph representation learning with GNNs for predicting disease risk from family EHRs