8 citations · 8 across the 4 of their papers we have counts for
7 papers
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…
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…