Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...
Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! White House reacts after intel assessment contradicts Trump on Iran strikes How to Find Hidden ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
ABSTRACT: Benzimidazolyl-Chalcones (BZCs) possess nitrogen heteroatoms making them very active molecules when protonated. In this work we will focus on a series of fourteen (14) substituted BZC ...
Objective: This study aimed to assess the viability of a multivariate regression model utilizing ultrasound findings and serum markers for predicting thyroid cancer metastasis. Methods: A ...
Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from ...
Function fanplotFS.m now accepts in input not only the output of FSReda and FSRaddt but also the output of FSReda, Sregeda and MMregeda. fanplotFS can be used also to monitor the t-statistics coming ...