Medical Code Prediction
7개 벤치마크 · 논문 27편 · 이 태스크의 논문 보기 →
Benchmarks
MIMIC-III
MIMIC-IV ICD-10
MIMIC-IV ICD-9
MIMIC-IV-ICD-10-full
MIMIC-IV-ICD10-top50
MIMIC-IV-ICD9-full
MIMIC-IV-ICD9-top50
Most implemented
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Explainable Prediction of Medical Codes from Clinical Text
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
Multitask Balanced and Recalibrated Network for Medical Code Prediction
An Explainable CNN Approach for Medical Codes Prediction from Clinical Text
Papers
Uncertainty-aware abstention in medical diagnosis based on medical texts
This study addresses the critical issue of reliability for AI-assisted medical diagnosis. We focus on the selection prediction approach that allows the diagnosis system to abstain from providing the decision if it is not…
Anxiety DetectionMedical Code PredictionMedical DiagnosisMortality Prediction+3An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
Electronic healthcare records are vital for patient safety as they document conditions, plans, and procedures in both free text and medical codes. Language models have significantly enhanced the processing of such record…
Adversarial RobustnessExplainable Artificial Intelligence (XAI)Feature ImportanceMedical Code PredictionEffective Medical Code Prediction via Label Internal Alignment
The clinical notes are usually typed into the system by physicians. They are typically required to be marked by standard medical codes, and each code represents a diagnosis or medical treatment procedure. Annotating thes…
Medical Code PredictionPredictionAutomated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Medical coding is the task of assigning medical codes to clinical free-text documentation. Healthcare professionals manually assign such codes to track patient diagnoses and treatments. Automated medical coding can consi…
Medical Code PredictionCan Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
The medical codes prediction problem from clinical notes has received substantial interest in the NLP community, and several recent studies have shown the state-of-the-art (SOTA) code prediction results of full-fledged d…
Knowledge DistillationMedical Code PredictionMedical Codes PredictionPredictionKnowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is challenging due to a high-dimensional space of multi-…
Contrastive LearningMedical Code Prediction