VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation

• DOI: 10.48550/arxiv.2312.12100
• Publication Date: 2023-01-01
• Authors: Taeri Kim; Jiho Heo; H.-H. Kim; Kijung Shin; Sang‐Wook Kim
• Keywords: Jaccard index; Spec#; Relevance

We address the medication recommendation problem, which aims to recommend effective medications for a patient's current visit by utilizing information (e.g., diagnoses and procedures) given at past visits. While there exist number of recommender systems designed this we point out that they are challenged in accurately capturing relation (spec., degree relevance) between each visits patient when obtaining her health status, is basis recommending medications. To limitation, propose novel framework, named VITA, based on following two ideas: (1) relevant-Visit selectIon; (2) Target-aware Attention. Through extensive experiments using real-world datasets, demonstrate superiority VITA up 5.56% higher accuracy, terms Jaccard, than best competitor) effectiveness its core ideas. The code available https://github.com/jhheo0123/VITA.