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Lucas Jing Liu
Publication Activity (10 Years)
Years Active: 2020-2022
Publications (10 Years): 4
Top Topics
Health Records
Missing Values
Base Classifiers
Ensemble Learning
Top Venues
BCB
CoRR
BIBM
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Publications
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Lucas Jing Liu
,
Victor Ortiz-Soriano
,
Javier A. Neyra
,
Jin Chen
KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction.
BIBM
(2022)
Lucas Jing Liu
,
Victor Ortiz-Soriano
,
Javier A. Neyra
,
Jin Chen
KGDAL: knowledge graph guided double attention LSTM for rolling mortality prediction for AKI-D patients.
BCB
(2021)
Lucas Jing Liu
,
Hongwei Zhang
,
Jianzhong Di
,
Jin Chen
ELMV: a Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.
CoRR
(2020)
Lucas Jing Liu
,
Hongwei Zhang
,
Jianzhong Di
,
Jin Chen
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values.
BCB
(2020)