There are 10 repositories under clinical-nlp topic.
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Multitask Learning with Pretrained Transformers
Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions" (NeurIPS 2022)
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.
A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks
A rule-based Python module for spitting documents into sections.
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text, ClinicalNLP workshop at EMNLP 2020
The project is in the incubation stage and still under development. ForteHealth is a flexible and powerful ML workflow builder for biomedical and clinical scenarios. This is part of the CASL project: http://casl-project.ai/
Instructions and code to create for a table of UMLS, SNOMED or HPO concepts containing Dutch medical names, usable in named entity recognition and linking methods such MedCAT.
Detecting the functioning level of a patient from a free-text clinical note in Dutch.
AskDocs: A medical QA dataset
Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)
MSR Cambridge Internship Summer 2023
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
Application to analyze clinical texts input by users to extract symptoms and treatments. Created with React, Java and Python.
SpaCy component for modifying the string of a doc before tokenizing.
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Early Prediction of Sepsis using Time Seiries Forecasting (Published in: 2023 IEEE 19th International Conference on e-Science (e-Science))
A spaCy component for executing custom logic at the end of a pipeline.
Off-the-Shelf Ensemble Systems
CLIFT : Analysing Natural Distribution Shift on Question Answering Models in Clinical Domain
[NLPMC 2023] "Dr LLM, what do I have?": The Impact of User Beliefs and Prompt Formulation on Health Diagnoses