Example snippet of discharge summary from the MIMIC-III dataset with

Ontology-driven and weakly supervised rare disease identification from clinical notes, BMC Medical Informatics and Decision Making

Critical Correlation of Predictors for an Efficient Risk Prediction Framework of ICU Patient Using Correlation and Transformation of MIMIC-III Dataset

PDF] Conformance Checking Methodology Across Discharge Summaries and Standard Treatment Guidelines

Benchmarking deep learning models on large healthcare datasets - ScienceDirect

Data Science Capstone Project predicting-readmission-nlp-from-discharge- summary

mimic_bow/mimic_bow_full.ipynb at master · andrewwlong/mimic_bow · GitHub

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance

Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation - ScienceDirect

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance

Applied Sciences, Free Full-Text

Early prediction of circulatory failure in the intensive care unit using machine learning

Applied Sciences, Free Full-Text

Example snippet of discharge summary from the MIMIC-III dataset with

Multitask learning and benchmarking with clinical time series data

Discharge summary snippet with highlights generated from attention