Software suite which extracts key information from medical discharge summaries
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Updated
May 18, 2015 - Java
Software suite which extracts key information from medical discharge summaries
My Master's Dissertation: Information Systems Architecture Definition for the Portuguese Electronic Health Record
COPRA: Constrained Prominence Adversarial Attack and Defense on Sparse and Discrete Clinical Data
An experiment in creating a (mostly) formally verified, domain specific markup language for electronic patient records and patient modeling.
Electronic Health Record system for a children's clinic in Swaziland. Developed for Heart for Africa, a nonprofit organization.
Honours Project
Time series joins to identify sequence of related events
Rails API back-end for Theurgy. For use with JavaScript front-end.
A rails web application for managing and tracking mental health treatment.
Clinical Named Entity Recognition for EHR
The word2vec-BiLSTM-CRF model for CCKS2019 Chinese clinical named entity recognition.
💉 Dermatology EMR
Natural language generation for discrete data in EHRs
Biological and vital parameters trajectories visualization tool
Code accompanying our ACM CHIL paper: "TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records"
Flask API for DDC Prescription Score
AI for Medicine Course by DeepLearning.ai
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.
Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.
Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.
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