Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals.

Eugene JeongNamgi ParkYoung ChoiRae Woong ParkDukyong Yoon

Published in: PloS one (2018)

Improved performance of ML models indicated that applying our model to EHR data is feasible and promising for detecting more accurate and comprehensive ADR signals.

Keyphrases

adverse drug
machine learning
electronic health record
big data
artificial intelligence
emergency department
deep learning
high resolution