Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein ... and placebo-supplemented groups were retrieved. If a study had multiple time points, ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Excluding children with target INR above 3. ‡ Results presented as means. § Genotyping for variant alleles *2 and *3 only except in validation dataset, which also included test for *5 ...

Abstract: We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) operates on a ...

In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR ... The random forest analysis was performed ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

aDepartment of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka bDepartment of Paediatrics, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka cDepartment of ...