The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

Cardiac arrest remains one of the most urgent and unforgiving medical emergencies, where every minute can determine survival and neurological recovery.

Objectives This study aimed to identify a deterioration prediction tool for patients after craniotomy. Design A retrospective cohort study. Setting Three large tertiary hospitals in Hunan Province, ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark bDepartment of Public Health, Faculty of Health and Medical ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...

When Vítor Pereira went in as Wolves manager in December 2024, he did brilliantly to keep them up - but he has essentially taken them down this season, picking up only two points from 10 games before ...

This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates Random Forest ...

Abstract: This paper analyzes the performance of different LDA combinations with machine learning algorithms in predicting diabetes based on clinical data. The analysis involves patient records with ...