Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction.

Seunghee LeeJeongwon ShinHyeon Seong KimMin Je LeeJung Min YoonSohee LeeYongsuk KimJong-Yeup Kim Suehyun Lee

Published in: Drug safety (2021)

These results can advance the existing rule-based model by developing a prescription error detection model using deep learning. This method can improve overall medical efficiency and service quality by reducing doctors' fatigue.

Keyphrases

deep learning
healthcare
mental health
artificial intelligence
convolutional neural network
machine learning
quality improvement
depressive symptoms
physical activity
loop mediated isothermal amplification
medical students
sensitive detection