3 citations · 5 across the 6 of their papers we have counts for
6 papers
Multimodal Prompt Learning with Irregular EHRs for Robust Monitoring of Critical Care Patients
Yixin Yang, Yueyang Sun, Weichen Liu +2
Accurate assessment of patients in intensive care units (ICUs) is essential for timely clinical intervention and improved patient outcomes. Multimodal electronic health records (EH…
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation
Sicen Liu, Xiaolong Wang, JIngcheng Du +6
Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare. Most existing works predicted medications based on longitudinal recor…
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
Ying Xiao, Shangwen Wang, Sicen Liu +3
Software built on top of machine learning algorithms is becoming increasingly prevalent in a variety of fields, including college admissions, healthcare, insurance, and justice. Th…
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
Sicen Liu, Xiaolong Wang, Xianbing Zhao +1
Medication recommendation is a fundamental yet crucial branch of healthcare that presents opportunities to assist physicians in making more accurate medication prescriptions for pa…
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction
Sicen Liu, Xiaolong Wang, Yang Xiang +3
Medical event prediction (MEP) is a fundamental task in the medical domain, which needs to predict medical events, including medications, diagnosis codes, laboratory tests, procedu…
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu, Xiaolong Wang, Yongshuai Hou +5
As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increas…