Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review.
Hae Reong KimMinDong SungJi Ae ParkKyeongseob JeongHo Heon KimSuehyun LeeYu-Rang ParkPublished in: Medicine (2022)
Using the 72 main articles, this review provides guidelines on which databases are frequently utilized and which analysis methods can be connected. For statistical analysis, >90% of the cases were analyzed by disproportionate or regression analysis with each spontaneous reporting system (SRS) data or electronic medical record (EMR) data; for machine learning research, however, there was a strong tendency to analyze various data combinations. Only half of the DrugBank database was occupied, and the k-nearest neighbor method accounted for the greatest proportion.