ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values. - Lucas Jing Liu; Hongwei Zhang; Jianzhong Di; Jin Chen 004 (BCB, 2020)

ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values. - Lucas Jing Liu; Hongwei Zhang; Jianzhong Di; Jin Chen 004 (CoRR, 2020)

KGDAL: knowledge graph guided double attention LSTM for rolling mortality prediction for AKI-D patients. - Lucas Jing Liu; Victor Ortiz-Soriano; Javier A. Neyra; Jin Chen 004 (BCB, 2021)

KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction. - Lucas Jing Liu; Victor Ortiz-Soriano; Javier A. Neyra; Jin Chen 004 (BIBM, 2022)

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. - Sihang Zeng; Lucas Jing Liu; Jun Wen; Meliha Yetisgen; Ruth Etzioni; Gang Luo (CoRR, 2025)