Abstract: Nowadays, heart disease is a serious medical issue, and diagnosis is crucial to providing the proper treatment to the patient. Hence, machine learning (ML)-based early diagnosis of heart ...
Model training employed unsupervised and self-supervised strategies. We compared our model’s performance to conventional BA estimation approaches, including Klemera and Doubal’s method, a CA ...
1 Department of Hematology, Dongyang Hospital Affiliated with Wenzhou Medical University, Jinhua, China 2 Department of Central Laboratory, Affiliated Hangzhou First People’s Hospital, School of ...
Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...
Objective: to verify validity evidence for the Praxis Model for Technology Development ® in nursing. Method: a methodological study, guided by the human praxis framework. The operational model content ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
Objectives This study aimed to develop a prediction model for the detection of early sepsis-associated acute kidney injury (SA-AKI), which is defined as AKI diagnosed within 48 hours of a sepsis ...
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