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Deep-learning analysis of greenspace and metabolic syndrome: A street-view and remote-sensing approach.

Environmental research Mar 7, 2025
Evidence linking greenspace exposure to metabolic syndrome (MetS) remains sparse and inconsistent. This exploratory study evaluate the relationship between green visibility index (GVI) and normalized difference vegetation index (NDVI) with MetS preva...
Adult Male Middle Aged Prevalence Deep Learning China Metabolic Syndrome Remote Sensing Technology Humans Female Aged
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Female autism categorization using CNN based NeuroNet57 and ant colony optimization.

Computers in biology and medicine Mar 7, 2025
Autism identification and classification using biomedical medical image analysis has advanced recently. Research shows autistic females have different phenotypic and age-related brain variations than males. Gender-specific hormones and genes affect a...
Deep Learning Child Magnetic Resonance Imaging Autistic Disorder Autism Spectrum Disorder Brain Female Adult Humans Neural Networks, Computer Machine Learning Algorithms
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A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations.

Nature human behaviour Mar 7, 2025
This study introduces a unified computational framework connecting acoustic, speech and word-level linguistic structures to study the neural basis of everyday conversations in the human brain. We used electrocorticography to record neural signals acr...
Language Female Young Adult Adult Humans Natural Language Processing Brain Male Comprehension Speech Speech Perception Models, Neurological Electrocorticography Brain Mapping
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Role of oxidative balance score in staging and mortality risk of cardiovascular-kidney-metabolic syndrome: Insights from traditional and machine learning approaches.

Redox biology Mar 7, 2025
OBJECTIVES: To evaluate the roles of oxidative balance score (OBS) in staging and mortality risk of cardiovascular-kidney-metabolic syndrome (CKM).
Metabolic Syndrome Cardiovascular Diseases Middle Aged Oxidative Stress Nutrition Surveys Aged Humans Machine Learning Female Risk Factors Adult Cross-Sectional Studies Male
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Outcomes of lateral femoral cutaneous nerve decompression surgery in meralgia paraesthetica: assessment of pain, sensory deficits, and quality of life.

International orthopaedics Mar 7, 2025
PURPOSE: Meralgia paraesthetica (MP) is a rare neuropathy of the lateral femoral cutaneous nerve (LFCN), characterized by thigh pain, paraesthesia, or sensory loss. When conservative treatments fail, surgical interventions such as neurolysis or neure...
Quality of Life Treatment Outcome Pain Measurement Femoral Nerve Decompression, Surgical Aged Nerve Compression Syndromes Adult Femoral Neuropathy Humans Male Prospective Studies Middle Aged Female
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The Application of Machine Learning Models to Predict Stillbirths.

Medicina (Kaunas, Lithuania) Mar 7, 2025
: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. : The study retrospectively included all ...
Adult Logistic Models Support Vector Machine Stillbirth Machine Learning Humans Retrospective Studies Pregnancy Female
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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea.

BMC medical informatics and decision making Mar 7, 2025
BACKGROUND: Retinal vein occlusion (RVO) is a leading cause of vision loss globally. Routine health check-up data-including demographic information, medical history, and laboratory test results-are commonly utilized in clinical settings for disease r...
Fundus Oculi Data Mining Retinal Vein Occlusion Male Humans Female Middle Aged Neural Networks, Computer Aged Machine Learning Risk Assessment Adult Republic of Korea Nutrition Surveys Cross-Sectional Studies
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Prediction of postpartum depression in women: development and validation of multiple machine learning models.

Journal of translational medicine Mar 7, 2025
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several...
Adult Risk Assessment Logistic Models Depression, Postpartum Female Reproducibility of Results Risk Factors Young Adult Humans Neural Networks, Computer Machine Learning Algorithms Pregnancy
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Rehabilitation training robot using mirror therapy for the upper and lower limb after stroke: a prospective cohort study.

Journal of neuroengineering and rehabilitation Mar 7, 2025
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness of rehabilitation training robots versus conventional rehabilitation training on stroke survivors by monitoring alterations in brain network of stroke...
Aged Adult Male Middle Aged Humans Prospective Studies Brain Female Stroke Magnetic Resonance Imaging Exercise Therapy Lower Extremity Upper Extremity Recovery of Function Stroke Rehabilitation Robotics
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Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models.

Scientific reports Mar 7, 2025
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women with gestational diabetes mellitus (GDM). The goal was to develop a machine learning-based model to predict postpartum dyslipidemia using early pregnancy...
Dyslipidemias Postpartum Period Humans Machine Learning Algorithms Pregnancy Female Adult ROC Curve Diabetes, Gestational
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