Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.
-
Updated
Aug 16, 2020 - Python
Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.
Code used in the Preoperative Surgical Risk Prediction project/paper
Code and Datasets for the paper "Identifying Sepsis Subphenotypes via Time-Aware Multi-ModalAuto-Encoder", published on KDD 2020.
Rails API back-end for Theurgy. For use with JavaScript front-end.
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
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.
My Master's Dissertation: Information Systems Architecture Definition for the Portuguese Electronic Health Record
💉 Dermatology EMR
Code for ICHE 2018: A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers. https://doi.org/10.1017/ice.2018.16
Electronic Health Record system for a children's clinic in Swaziland. Developed for Heart for Africa, a nonprofit organization.
PARALLEL AND DISTRIBUTED ELECTRONIC HEALTH RECORD MANAGEMENT SYSTEM
Code and Datasets for the paper "Deconfounding actor-critic network with policy adaptation for dynamic treatment regimes", published on KDD 2022.
Code for the paper "Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning", published on ICDM 2021.
Pharmacy models and classes
Code for the paper "Temporal clustering with external memory network for disease progression modeling". Accepted by ICDM 2021.
One of the top solutions for The 2019 DII National Data Science Challenge: https://sbmi.uth.edu/dii-challenge/. More details in the paper "An interpretable deep-learning model for early prediction of sepsis in the emergency department", published on Patterns 2021.
A distributed system to manage access permissions of electronic health records through smart contracts.
Software suite which extracts key information from medical discharge summaries
MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.
Add a description, image, and links to the electronic-health-record topic page so that developers can more easily learn about it.
To associate your repository with the electronic-health-record topic, visit your repo's landing page and select "manage topics."