There are 11 repositories under clinical-notes topic.
multilabel classification of EHR notes
Predicting ICD Codes from Clinical Notes
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023
A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.
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
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
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
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
A new approach to extract clinical summaries from discharge notes
GERNERMED++ is a transfer-learning-based open neural NER model for medical entities designed for German data.
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
Repository of FHIR and annotation resources used to benchmark NLP Sandbox tools
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.
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 clinical notes based on predicted codes for clinical text.
Uses Whisper AI to transcribe and process audio files, with the output being useful to psychotherapists.
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
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.
A web based system that uses deep learning to diagnosis patients based on their clinical notes.
Vocabulary-based detection of fall events in Dutch clinical notes.
The association of demographic factors with negative descriptors in medical text