Background: Early detection of peripheral atherosclerosis remains a clinical challenge, especially in asymptomatic individuals. This study aimed to evaluate the predictive value of systemic ...
Artificial Intelligence systems learn patterns from data, and one of the most fundamental learning paradigms enabling this capability is Supervised Learning. In supervised learning, models are trained ...
1 School of Artificial Intelligence and Information Engineering, Zhejiang University of Science and Technology, Hangzhou, China. 2 School of Sciences, Zhejiang University of Science and Technology, ...
Abstract: - this research paper explores the possibilities of using the Logistic Regression Framework as means of controlling the scalability and mobility of cloud computing servers. The aim of this ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
Predictive modeling is one of the most important tools in data science. It helps professionals use past data to forecast future outcomes and make data-driven decisions. Among the many modeling ...
Hypernatremia is a common postoperative complication after pituitary adenoma surgery. Despite its prevalence, there is a significant gap in research regarding the construction of predictive models for ...
Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...
Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...
Customer retention is a critical challenge for telecom companies, and understanding customer churn can significantly improve business strategies. This paper focuses on developing an accurate ...
This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
Abstract: Lung cancer remains one of the most important issues related to cancer mortality worldwide due to the late diagnosis and the need for invasive biopsy procedures. There has emerged a new and ...
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