Results 41 to 50 of about 59,770 (264)
Fully automatic brain image classification of MR brain images is of great importance for research and clinical studies, since the precise detection may lead to a better treatment. In this work, an efficient method based on Multiple-Instance Learning (MIL)
C. C. Benson +2 more
doaj +1 more source
ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +110 more
wiley +1 more source
The Role of Domain Knowledge in Automating Medical Text Report Classification [PDF]
To analyze the effect of expert knowledge on the inductive learning process in creating classifiers for medical text reports.The authors converted medical text reports to a structured form through natural language processing. They then inductively created classifiers for medical text reports using varying degrees and types of expert knowledge and ...
Adam B, Wilcox, George, Hripcsak
openaire +2 more sources
Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among long‐term HCQ users with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain OCT (SD‐OCT) for screening. Methods A systematic search of PubMed, Scopus,
Narsis Daftarian +4 more
wiley +1 more source
Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner +3 more
wiley +1 more source
Defect classification from text descriptions written by inspectors during the construction stage can be highly beneficial, offering advantages such as cost savings and improved reputation of apartment complexes by allowing early identification and ...
Seunghyeon Wang +4 more
doaj +1 more source
Background: Clinical records are often unstructured, free-text documents that create information extraction challenges and costs. Healthcare delivery and research organizations, such as the National Mesothelioma Virtual Bank, require the aggregation of ...
Richard A Wilson +4 more
doaj +1 more source
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
GENERATING AUTOMATED TEXT COMPLEXITY CLASSIFICATIONS THAT ARE ALIGNED WITH TARGETED TEXT COMPLEXITY STANDARDS [PDF]
ABSTRACTThe Common Core Standards call for students to be exposed to a much greater level of text complexity than has been the norm in schools for the past forty years. Textbook publishers, teachers, and assessment developers are being asked to refocus materials and methods to ensure that students are challenged to read texts at steadily increasing ...
Kathleen M. Sheehan +3 more
openaire +1 more source

