Library for clinical NLP with spaCy.
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Updated
Mar 6, 2025 - Jupyter Notebook
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
Multitask Learning with Pretrained Transformers
[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".
[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.
A rule-based Python module for spitting documents into sections.
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
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)
A Python implementation of the ConText algorithm for clinical text concept assertion using the spaCy framework
AskDocs: A medical QA dataset
Estimate sentiment in clinical notes via keywords or deep learning models
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
Developing a system to match eligible patients to ongoing clinical trials using Vector Embeddings and LLMs!
SpaCy component for modifying the string of a doc before tokenizing.
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