Drug discovery is a major focus of modern research, and predicting drug-target interactions is one of the strategies to facilitate this research process. Traditional laboratory methods have long time cycles and are relatively costly, so the use of .
Total Citations 0Electronic Health Records (EHRs) are a rich source of information that can be leveraged for various medical applications, such as disease inference, treatment recommendation, and outcome analysis. However, the complexity and heterogeneity of EHR .
Total Citations 0Effective disease prediction based on electronic health records (EHR) is an important topic in health informatics. The current methods usually use common deep-learning models for disease prediction. However, it is difficult to fully learn the .
Total Citations 0Alzheimer’s disease (AD) is a common chronic neurodegenerative disease and the accurate prediction of the clinical cognitive performance is important for diagnosis and treatment. Recently, multi-task feature learning (MTFL) methods with sparsity-.
Total Citations 0Predicting outcomes for cancer patients initiating chemotherapy is essential for care planning and offers potential to support clinical and health policy decision-making. Existing models leveraging deep learning with longitudinal healthcare data .
Total Citations 0Prenatal alcohol exposure (PAE) has garnered increasing attention due to its detrimental effects on both neonates and expectant mothers. Recent research indicates that spatio-temporal functional brain networks (FBNs), derived from functional .
Total Citations 0We have previously demonstrated that network graphs generated using patient administrative data can represent health services functional structures through which hospital inpatient care is delivered. However, hospitals have to respond to changes .
Total Citations 0Clinicians prescribe antibiotics by looking at the patient’s health record with an experienced eye. However, the therapy might be rendered futile if the patient has drug resistance. Determining drug resistance requires time-consuming laboratory-.
