A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.
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Updated
Jul 30, 2024 - Jupyter Notebook
A deep learning project predicting hyperinflammatory syndrome among COVID-19 patients using EHR data.
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.
Built a regression model that predicts the expected days of hospitalization time and an uncertainty range estimation.
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
KDD2020 paper; Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
attribute-based access control implementation for EHRs
This repo contains demonstration code to illustrate the use of the FIHR standard for healthcare data, developed by the HL7 organisation.
IPEHR-gateway is a solution to provide benefits of decentralized architecture to common HMS apps using standard APIs. IPEHR gateway is used to encrypt and decrypt passing data, support AQL queries of encrypted data and manage user’s cryptographic keys.
"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
Official implementation of TACCO (Task-guided Co-clustering).
Code to generate realistic synthetic healthcare data with diffusion models
Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.
A Electronic Health Care System is aimed digitalizing the health care by providing the hospital services in online mode.
Collection of bio-medical and clinical ner models in spacy, stanza, flair with some utility files
OpenAPI which maps custom EHRs into FHIR R4 Patient and Observation resources. Other resources were not implemented (yet).
omopcept : an R package to access OMOP conCEPTs (no cons!) and flexible tidyverse compatible R functions for querying and visualising.
COVID-19 EHR data analysis pipeline
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