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Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households.
BMC health services research
Aug 7, 2025
BACKGROUND: Despite the National Health Insurance (NHI) system implemented in South Korea, concerns persist regarding access to health coverage for low-income households. To address this issue, this study aims to use machine learning-based data minin...
Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge.
BMC medical informatics and decision making
Aug 7, 2025
BACKGROUND: Early diagnosis of Parkinson's disease (PD) can assist in designing efficient treatments. Reduced facial expressions are considered a hallmark of PD, making advanced artificial intelligence (AI) image processing a potential non-invasive c...
Urinary Complement proteome strongly linked to diabetic kidney disease progression.
Nature communications
Aug 7, 2025
Diabetic kidney disease (DKD) progression is not well understood. Using high-throughput proteomics, biostatistical, pathway and machine learning tools, we examine the urinary Complement proteome in two prospective cohorts with type 1 or 2 diabetes an...
Explainable illicit drug abuse prediction using hematological differences.
Scientific reports
Aug 7, 2025
This study aimed to develop a reliable and explainable predictive model for illicit drug use (IDU). The model uses a machine learning (ML) algorithm to predict IDU using hematological differences between illicit drug users (IDUr) and non-users (n-IDU...
Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.
Scientific reports
Aug 7, 2025
Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities; however, they sometimes share similarities in histological structure depending on the context. Thus, distinguishing between the two may require care...
Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma.
Scientific reports
Aug 7, 2025
This study investigated the effects of feature augmentation, which uses generated images with specific imaging features, on the performance of isocitrate dehydrogenase (IDH) mutation prediction models in gliomas. A total of 598 patients were included...
Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma.
Scientific reports
Aug 7, 2025
The mortality rates have been increasing for glioma in adolescents and young adults (AYAs, aged 15-39 years). However, current biomarkers for clinical assessment in AYAs glioma are limited, prompting the urgent need for identifying ideal prognostic s...
Developing an Equitable Machine Learning-Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation.
JMIR research protocols
Aug 7, 2025
BACKGROUND: Given the high prevalence and cost of Alzheimer disease (AD), it is crucial to develop equitable interventions to address lifestyle factors associated with AD incidence (eg, depression). While lifestyle interventions show promise for redu...
Machine Learning-Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study.
JMIR medical informatics
Aug 7, 2025
BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among individuals and is related to a variety of lifestyle factors in addition to the presence of chronic diseases.
Belun Sleep Platform versus in-lab polysomnography for obstructive sleep apnea diagnosis.
Sleep & breathing = Schlaf & Atmung
Aug 7, 2025
OBJECTIVE: We aimed to compare the Belun Sleep Platform (BSP), an artificial intelligence-driven home sleep testing device, with polysomnography (PSG) for diagnosing obstructive sleep apnea. The BSP analyzes oxygen saturation, heart rate, and acceler...
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