[NLPMC 2023] "Dr LLM, what do I have?": The Impact of User Beliefs and Prompt Formulation on Health Diagnoses
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Updated
Oct 17, 2023 - Jupyter Notebook
[NLPMC 2023] "Dr LLM, what do I have?": The Impact of User Beliefs and Prompt Formulation on Health Diagnoses
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
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
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 at 2023 IEEE AI4Health)
Application to analyze clinical texts input by users to extract symptoms and treatments. Created with React, Java and Python.
MSR Cambridge Internship Summer 2023
Estimate sentiment in clinical notes via keywords or deep learning models
Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)
Detecting the functioning level of a patient from a free-text clinical note in Dutch.
A Python implementation of the ConText algorithm for clinical text concept assertion using the spaCy framework
AskDocs: A medical QA dataset
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.
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
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