35 citations · 68 across the 11 of their papers we have counts for
12 papers
Patient-Reported Survey Data Improve Prediction of Opioid Use Disorder
Xiyue Jiang, Zihan Ding, Grace Han +3
Electronic health records (EHRs) may incompletely capture patient-reported factors associated with opioid use disorder (OUD). We evaluated whether survey data improve prediction of…
A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction
Zihan Ding, Yinan Liu, Tengfei Ma +4
Feature selection is a critical step in electronic health record (EHR)-based predictive modeling, where input variables are often high-dimensional, sparse, noisy, and redundant. La…
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records
Weimin Lyu, Zexin Bi, Fusheng Wang +1
The advent of clinical language models integrated into electronic health records (EHR) for clinical decision support has marked a significant advancement, leveraging the depth of c…
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Yinan Liu, Xinyu Dong, Weimin Lyu +4
Class imbalance problems widely exist in the medical field and heavily deteriorates performance of clinical predictive models. Most techniques to alleviate the problem rebalance cl…
Unraveling Key Elements Underlying Molecular Property Prediction: A Systematic Study
Jianyuan Deng, Zhibo Yang, Hehe Wang +3
Artificial intelligence (AI) has been widely applied in drug discovery with a major task as molecular property prediction. Despite booming techniques in molecular representation le…
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Weimin Lyu, Xinyu Dong, Rachel Wong +4
Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases. Mean…
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima +2
Artificial intelligence (AI) has been transforming the practice of drug discovery in the past decade. Various AI techniques have been used in a wide range of applications, such as…
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
Yu Wang, Ziqiao Guan, Wei Hou +1
Chronic kidney disease (CKD) has a poor prognosis due to excessive risk factors and comorbidities associated with it. The early detection of CKD faces challenges of insufficient me…
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning
Xinyu Dong, Jianyuan Deng, Sina Rashidian +6
The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Us…
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Jianyuan Deng, Zhibo Yang, Yao Li +2
Naloxone, an opioid antagonist, has been widely used to save lives from opioid overdose, a leading cause for death in the opioid epidemic. However, naloxone has short brain retenti…
An Informatics-based Approach to Identify Key Pharmacological Components in Drug-Drug Interactions
Jianyuan Deng, Fusheng Wang
Drug-drug interactions (DDI) can cause severe adverse drug reactions and pose a major challenge to medication therapy. Recently, informatics-based approaches are emerging for DDI s…
Disease phenotyping using deep learning: A diabetes case study
Sina Rashidian, Janos Hajagos, Richard Moffitt +9
Characterization of a patient clinical phenotype is central to biomedical informatics. ICD codes, assigned to inpatient encounters by coders, is important for population health and…