Clone of latest Apache cTakes

A web based system that uses deep learning to diagnosis patients based on their clinical notes.

A web based system that uses deep learning to diagnosis patients based on their clinical notes

Learning from Discharge Summaries to extract mentioned diagnoses using Hierarchical Attention Model

Discovering Related Clinical Concepts using Large Amounts of Clinical Notes. An unsupervised graphical approach to mine related concepts by leveraging the volume within large amounts of clinical notes.

Charlson Comorbidity Index Regression using Clinical Notes

An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.

Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction

BERT for TCM clinical records classification. JAMIA 2019

Clinical Note Processing Pipeline Driver and Framework

multilabel classification of EHR notes

Predicting ICD Codes from Clinical Notes

Vocabulary-based detection of fall events in Dutch clinical notes.

Research Practical and Master Thesis topic for the University of Luxembourg. Natural language processing pipeline to extract HPO terms from clinical notes or EHR, annotate genes and diseases to the extracted terms and prioritize them by their frequency.

Code and Datasets for the paper "TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding", accepted by AIME 2021.

Extracting Patients' information from clinical notes and export them to an OMOP CDM database.

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)

An Interactive Tool for Natural Language Processing on Clinical Text

An Interactive Tool for Natural Language Processing on Clinical Text

Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes