Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Deep feature extraction method for automatic classification and processing of accounting information
Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...
1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Abstract: Aiming at automatic glass classification and determining the appropriate number of clusters, a classification method based on systematic clustering and logistic regression is proposed in ...
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