lemuria-wchen/imcs21

Code and dataset for our Bioinformatics 2022 paper: "A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets"

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This project provides a comprehensive benchmark dataset called IMCS-21, featuring 4,116 annotated medical consultation records for 10 pediatric diseases. It helps researchers and developers evaluate and compare automated medical consultation systems by providing a standard input (patient dialogue data) and expected outputs (diagnoses, recommended treatments, etc.). It's ideal for anyone building or improving AI models that mimic doctor-patient interactions.

No commits in the last 6 months.

Use this if you are developing or evaluating automated systems designed to assist with medical consultations, particularly in pediatrics.

Not ideal if you are looking for a ready-to-use, deployable medical consultation system rather than a dataset and framework for research and development.

medical consultation pediatric health clinical natural language processing diagnostic assistance healthcare AI
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 18 / 25

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63

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Language

Python

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Last pushed

Dec 24, 2022

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