Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study.

Jatin GoyalDing Quan NgKevin ZhangAlexandre ChanJoyce LeeKai ZhengKeri Hurley-KimLee NguyenLu HeMegan NguyenSarah McBaneWei LiChristine Luu Cadiz

Published in: BMC medical informatics and decision making (2023)

We demonstrated feasibility of predicting ADEs using ML. Incorporating genomic features and drug interactions with deep learning models may improve ADE prediction.

Keyphrases

deep learning
atrial fibrillation
copy number
convolutional neural network
machine learning
artificial intelligence
emergency department
gene expression