multilabel classification of EHR notes

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

Predicting ICD Codes from Clinical Notes

A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.

MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023

BERT for TCM clinical records classification. JAMIA 2019

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

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

A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction

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

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

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.

An Interactive Tool for Natural Language Processing on Clinical Text

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

GPTNERMED is a language model-generated, synthetic dataset and an open neural NER model for medical entities designed for German data.

An Interactive Tool for Natural Language Processing on Clinical Text

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

Charlson Comorbidity Index Regression using Clinical Notes

GERNERMED++ is a transfer-learning-based open neural NER model for medical entities designed for German data.

A new approach to extract clinical summaries from discharge notes