Classification of EHR data with BERT
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Updated
Sep 11, 2023 - Python
Classification of EHR data with BERT
Baseline to compare the performance of different models with sepsis data from MIMIC-III database
Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“
A program to create RDF and RDF* knowledge graphs from the clinical database MIMIC-III, where a hospital layout has been created and patients move within the hospital.
KDD'23 | MedLink: De-Identified Patient Health Record Linkage
CNEP (Contrastive Notes Events Pre-training), Contrastive Learning with Clinical Notes and Events Data Pre-training from MIMIC-III
Provenience of discharge summaries Pythonic access (BioNLP paper)
The deployment of Artificial Intelligence for the understanding of common text-based tasks in the healthcare sector is key to extraordinary advancement. Electronic Health Records (EHR) are stored in the health care system in an unstructured and categorically distributed way. We have a ICD-9 Labeled data which is being used to find attention on c…
Small footprint info panel that listens, talks and shows useful info on an e-Paper display. 100% local speech transcription and generation.
Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy
Development of a disease prediction model on the MIMIC III heathcare dataset
MIMIC III Corpus Parsing
A reproduction repository for MIMIC III ETL
Repo for the final project of UIUC's CS598 Deep Learning for Healthcare to reproduce the DeepNote-GNN model
Master's thesis work aims to develop a tool for the analysis and prediction of data from the MIMIC-III database, using sepsis as a case study. Two specific prediction tasks have been selected: sepsis mortality and mortality within 30 days of sepsis diagnosis.
PatientINF embedding models - with forum extraction and model building scripts.
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