RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
News-Medical.Net

Machine learning boosts medicine access in resource-limited healthcare settings

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
PCMag

Intel Arc G3 Extreme Tested: This Is the PC Gaming Handheld Chip to Beat

With its "Panther Lake" Xe graphics cores, Intel's new G3 Series processors are purpose-built for PC gaming handhelds. I tested the flagship G3 Extreme chip inside MSI's spendy Claw 8 EX AI+. What ...
thorax.bmj

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

We used cross-validation and grid search to assess three machine learning (ML) models (eXtreme Gradient Boosted Trees, random forest, least absolute shrinkage and selection operator (LASSO)) for their ...
IEEE

Extreme Learning Machine for Regression and Multiclass Classification

Abstract: Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification ...
Journal of Medical Internet Research

Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Background: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications. Objective: ...
C&EN

Estimation of Hematocrit Volume Using Blood Glucose Concentration through Extreme Gradient Boosting Regressor Machine Learning Model

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Journal of Medical Internet Research

Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study

We applied extreme gradient boosting using selected features to develop a simple questionnaire predicting sleep disorders (SLEEPS). The accuracy of the algorithm was evaluated using the area under the ...
IEEE

Extreme Learning Machine With Affine Transformation Inputs in an Activation Function

Abstract: The extreme learning machine (ELM) has attracted much attention over the past decade due to its fast learning speed and convincing generalization performance. However, there still remains a ...
C&EN

Novel Improved Particle Swarm Optimization-Extreme Learning Machine Algorithm for State of Charge Estimation of Lithium-Ion Batteries

School of Pharmacy and Life Sciences, Robert Gordon University, AberdeenAB10 7GJ, U.K. Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML ...
Nature

Machine learning can help get COVID-19 aid to those who need it most

Last week, I had an unexpected encounter on Zoom. The callers were senior government officials from the Togolese Republic, in West Africa. Why? The president of Togo wants to send cash payments ...