IEEE

Application of Multi Linear Regression Model for Predicting Heavy Rainfall

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
Journal of Medical Internet Research

Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L, Mackillop L Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: ...
Frontiers

Establishment and validation of a phenotype-driven predictive model for the diagnostic efficacy of trio-based whole exome sequencing (trio-WES) in children with genetic ...

Background: Genetic neurodevelopmental disorders (g-NDDs), a complex group of idiopathic syndromes with a heterogeneous genetic etiology, are defined as global developmental delay/intellectual ...
IEEE

Optimizing Linear Regression Models: A Comparative Study of Error Metrics

Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...
Hosted 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 ...
Frontiers

The adaptation triangle: a multivariate analysis of vulnerability, resilience and livelihood strategies in semi-arid regions of India

1 Department of Agricultural Economics, Banaras Hindu University, Varanasi, UP, India 2 Centre for Comparative Politics & Political Theory, School of International Studies, Jawaharlal Nehru University ...