Results 101 to 110 of about 955,082 (315)

Accuracy of diagnostic codes and algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in administrative claims and electronic health records: systematic review and meta‐analysis.

open access: yesArthritis Care &Research, Accepted Article.
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis (RA) and juvenile idiopathic arthritis (JIA) in electronic health records (EHRs). Methods We searched MEDLINE, Embase, and CENTRAL databases and included studies that validated case definitions against a reference standard such ...
Constanza Saka‐Herrán   +10 more
wiley   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Comparing the profitability of farming and forestry [PDF]

open access: yes
This paper updates an analysis of returns from major productive land uses in New Zealand carried out in 2008. Trends in profitability over time are shown, and a preliminary investigation of the relationship between land-use change towards forestry (new ...
Evison, David
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Subgrain and Cavity Development during Creep of Al‐3.85%Mg

open access: yesAdvanced Engineering Materials, EarlyView.
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac   +6 more
wiley   +1 more source

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