Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Background: High-quality family planning (FP) counselling is essential for informed contraceptive choice, reducing discontinuation, and improving reproductive health. However, many women in ...
Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...
Objectives The role of the triglyceride–glucose body mass index (TyG-BMI) in glycaemic state transitions among individuals with pre-diabetes remains unclear. This study explores the association ...
Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
Background: Patients with primary hypertension are always comorbid with hyperuricemia. Serum uric acid exhibits a dual role in cognitive function. Evidence regarding the relationship between uric acid ...
Washington — President Trump on Wednesday showed off a model of what may be his next Washington, D.C., development project, an arch that resembles the Arc de Triomphe in Paris and is being referred to ...
There was an error while loading. Please reload this page. This project applies Logistic Regression to predict whether a passenger aboard the Titanic survived. It ...
American Vogue’s August 2025 issue has been making headlines — and not only for its cover featuring actor Anne Hathaway, who is back in the limelight as she films “The Devil Wears Prada” sequel. What ...
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