Classifying medical notes into standard disease codes using Machine Learning

02/01/2018

∙

We investigate the automatic classification of patient discharge notes into standard disease labels. We find that Convolutional Neural Networks with Attention outperform previous algorithms used in this task, and suggest further areas for improvement.

READ FULL TEXT

Classifying medical notes into standard disease codes using Machine Learning

Lecture Notes: Optimization for Machine Learning

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare analyze K-Nearest Neighbours and Deep CNNs

Deep EHR: Chronic Disease Prediction Using Medical Notes

Boosting the rule-out accuracy of deep disease detection using class weight modifiers

BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining

Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features

Classifying medical notes into standard disease codes using Machine Learning

Related Research

Lecture Notes: Optimization for Machine Learning

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare analyze K-Nearest Neighbours and Deep CNNs

Deep EHR: Chronic Disease Prediction Using Medical Notes

Boosting the rule-out accuracy of deep disease detection using class weight modifiers

BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining

Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features