Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
IEEE

Diabetic Retinopathy Classification: Evaluating Logistic Regression and Random Forest for ...

Abstract: Diabetic retinopathy (DR) is an insidious ocular complication, with its initial stages being asymptomatic; therefore, accurate detection at an early stage is required to prevent severe ...
Scientific Research Publishing

Prediction of the Knowledge Level of Tuberculosis ()

1 National High School of Architecture and Urban Planning, University of Bondoukou, Bondoukou, Côte d’Ivoire. 2 Faculty of Mathematics and Computer Science, University Félix Houphouet-Boigny, Abidjan, ...
Frontiers

Factors affecting feeding ability in children with neonatal intensive care unit stay: a ...

1 Rehabilitation Department, Shenzhen Children's Hospital, Shenzhen, Guangdong, China 2 Jiangxi Education Evaluation And Assessment Institute, Nanchang, Jiangxi, China Objectives: Oral feeding ...
ahajournals.org

Abstract 4340081: Machine Learning-Based Prediction of Right Ventricular Failure Following ...

Background: Right ventricular failure (RVF) is a significant and potentially fatal complication following left ventricular assist device (LVAD) implantation. Clinically, RVF post-LVAD is difficult to ...