Jiho Heo — accepted AI-conference papers

2025

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Taeri Kim, Jiho Heo, Hyunjoon Kim, Sang-Wook Kim

AAAI 2025technical

We focus on the medication recommendation problem aiming to recommend accurate medications for a patient’s current visit. Most existing methods for this problem utilize the patient’s current health status, medications prescribed at her past visits, and an Electronic Health Records (EHR) graph which…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

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

Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim

AAAI 2024technical

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 the patient's current and past visits. While there exist a number of recommender systems designed for this…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗