The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
EurekAlert!

Journal of Environmental Sciences study reveals how artificial intelligence can transform PM2.5 monitoring

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Open Heart

Association of epicardial adipose tissue with markers of cardiac remodelling and clinical outcomes in asymptomatic aortic stenosis

Background Previous studies have suggested an adverse role of epicardial adipose tissue (EAT) in aortic stenosis (AS), ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Predicting Blood Glucose Levels in Type 1 Diabetes Using Deep Learning and Regression Techniques

Abstract: Accurate blood glucose prediction is very critical for the effective management of Type 1 Diabetes as it allows timely interventions and prevents fluctuations in blood sugar levels. Due to ...
Frontiers

DeepKinome: quantitative prediction of kinase binding affinity by a compound using deep learning based regression model

Introduction: Kinases are essential for cellular regulation and drug development. Predicting the quantitative binding affinity between small-molecule compounds and kinases remains a challenge because ...
IEEE

Non-Invasive Blood Glucose Estimation on Edge Computing Devices Using Linear Regression and Deep Neural Networks

Abstract: This study presents an alternative non-invasive blood glucose estimation based on an ESP-32 microcontroller as an IoT device that serves as the main control unit and a near-infrared (NIR) ...
Scientific Research Publishing

Goodfellow, I., Bengio, Y. and Courville, A. (2016) Example: Linear Regression. In: Deep Learning, The MIT Press, 104-113.

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...