Library for clinical NLP with spaCy.

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation

[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".

Fact Verification for Clinical Notes with LLMs

Multitask Learning with Pretrained Transformers

[NeurIPS 2022] Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Discharge/Patient Instructions"

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.

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/

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text, ClinicalNLP workshop at EMNLP 2020

A rule-based Python module for spitting documents into sections.

基于自然语言处理的智能医疗诊断系统

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.

Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)

AskDocs: A medical QA dataset

A Python implementation of the ConText algorithm for clinical text concept assertion using the spaCy framework

Estimate sentiment in clinical notes via keywords or deep learning models

Evidence-synthesis RAG assistant for TCM practitioners — hybrid vector + knowledge graph retrieval over 17 classical texts, with query classification, self-critique verification, and blind A/B arena evaluation.