Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...
Objective Intracranial atherosclerotic disease (ICAD) is a leading cause of ischemic stroke worldwide. The objective of this study is to evaluate the association of three-dimensional high-resolution ...
Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...
Genomic landscape and biomarker analyses utilizing circulating-tumor DNA in advanced esophageal squamous cell carcinoma: Sub-analysis of SCRUM-MONSTAR GOZILA. Tislelizumab (TIS; BGB-A317) plus ...
Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live ...
1 Department of Pediatrics, Faculty of Medicine, University of the Uélé, Isiro, Democratic Republic of the Congo. 2 Department of Pediatrics, Faculty of Medicine and Pharmacy, University of Kisangani, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback