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 ...
Academy of Art and Design, Yancheng Teachers University, Yancheng, China Introduction: With the acceleration of global aging, the accurate prediction of care service demand for older adults is of ...
1 Department of Mathematics, University of Nairobi, Nairobi, Kenya. 2 African Population and Health Research Center, Nairobi, Kenya. 3 Department of Psychiatry, University of Oxford, Oxford, United ...
ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem ...
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 ...
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 ...
Abstract: Logistic regression is a classic classification method in machine learning. Classical logistic regression uses a general gradient descent method to solve the best parameters of the loss ...
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