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 ...
IEEE

Hybrid Deep Learning Model for Enhanced Brain Tumor Classification Using VGG19, LSTM, and SVM Algorithms

Abstract: Brain tumors are an important worldwide health issue, contributing to high rates of morbidity and mortality. Their early detection is vital for enhancing patient outcomes; yet, it remains a ...
Frontiers

Evolving Bibliometric Indicators: Enhancing Research Impact Assessment Beyond Traditional Metrics

Bibliometric analysis is crucial for evaluating scientific publications, traditionally relying on metrics like citation count ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
IEEE

Optimizing Fish Classification with a Hybrid SAE-SVM Model: Performance and Evaluation on Fish-gres and Fish4-Knowledge Datasets

Abstract: Accurate classification of fishes is thus very important in marine biology for species identification, biodiversity monitoring, and ecological studies. Most typical methods used are manual ...