Deep Learning with Yacine on MSN
Building multivariate linear regression in C++ — no libraries, just code
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 ...
Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Abstract: Brain-computer interfaces (BCIs) based on steady-state visually evoked potential (SSVEP) have a broad application prospect owing to their multiple command output and high performance. Each ...
Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...
Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...
Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Although trauma severity is the best predictor of surgical site infection following exploratory laparotomy for visceral perforation, high infection rates necessitate quality improvement targeting ...
This population-based cross-sectional study was conducted in Mainland China from July 10 to September 15, 2021. A multi-stage, hybrid sampling strategy was employed to recruit participants from 120 ...
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