BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Frontiers

Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation

1 Department of Nephrology, the 95th Hospital of Putian in China RongTong Medical Health Corporation, Putian, China 2 Department of Rheumatology and Immunology, the 95th Hospital of Putian in China ...
IEEE

Towards Accurate Thyroid Disease Diagnosis: A Robust Ensemble Machine Learning Approach with SMOTE and Feature Selection

Abstract: The incidence of thyroid diseases has decreased with time and increasing sensitivity. The late detection of abnormalities in the early stages can reduce mortality and other complications.
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
Scientific Research Publishing

Polikar, R. (2012) Ensemble Learning. In: Zhang, C. and Ma, Y., Eds., Ensemble Machine Learning, Springer, 1-34.

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
Los Angeles Times

‘Adolescence’ actors and co-creators celebrate their ‘magical’ Emmy nods

The makers of Netflix’s hit drama “Adolescence” knew their series about a 13-year-old boy accused of murdering a female classmate was something special. And while creators and executive producers ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
IEEE

Advancing Shallow Water Bathymetry Estimation in Coral Reef Areas via Stacking Ensemble Machine Learning Approach

Abstract: Satellite-derived bathymetry technology plays a pivotal role in estimating shallow water depths. Although traditional machine learning (ML) models are extensively applied in water depth ...