clinical-notes

multilabel classification of EHR notes

📰 High-performance tool for negation and uncertainty detection in radiology reports

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

BERT for TCM clinical records classification

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

Predicting ICD Codes from Clinical Notes

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

An Interactive Tool for Natural Language Processing on Clinical Text

An Interactive Tool for Natural Language Processing on Clinical Text

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.

Rare disease identification from free-text clinical notes with ontologies and weak supervision

Charlson Comorbidity Index Regression using Clinical Notes

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

Repository of FHIR and annotation resources used to benchmark NLP Sandbox tools

GERNERMED is the first open neural NER model for medical entities designed for German data.

Clinical Note Processing Pipeline Driver and Framework

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

Abbreviation disambiguation (AD) in clinical notes using concept embedding model (Marta Skreta) and convolutional neural network baseline (Jacob Kelly).

A tool for automatically labelling discharge summaries into disease categories.

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

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

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

Clone of latest Apache cTakes