multilabel classification of EHR notes
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Updated
Jul 21, 2020 - Python
multilabel classification of EHR notes
📰 High-performance tool for negation and uncertainty detection in radiology reports
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023
BERT for TCM clinical records classification. JAMIA 2019
Fact Verification for Clinical Notes with LLMs
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
Rare disease identification from free-text clinical notes with ontologies and weak supervision
Extracting Patients' information from clinical notes and export them to an OMOP CDM database.
GERNERMED is the first open neural NER model for medical entities designed for German data.
GPTNERMED is a language model-generated, synthetic dataset and an open neural NER model for medical entities designed for German data.
A multi agent healthcare assistant system implemented using Python and Langgraph. The agents include icd10 code extractor, SOAP document generator and medical image report generator. This project uses one of the latest LLMs, MedGemma model.
GERNERMED++ is a transfer-learning-based open neural NER model for medical entities designed for German data.
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
Code and Datasets for the paper "TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding", accepted by AIME 2021.
Estimate sentiment in clinical notes via keywords or deep learning models
Human-AI Co-design for Clinical Prediction Models
A lightweight clinical large language model (LLM) for cognitive decline detection from clinical notes. The project includes synthetic EHR data for rapid validation and experimentation. The paper was published in Journal of Biomedical Informatics: CD-Tron: Leveraging Large Clinical Language Models for Early Detection of Cognitive Decline from EHR
Repository of FHIR and annotation resources used to benchmark NLP Sandbox tools
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
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