AIMC Topic: Male

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Speech Detection via Respiratory Inductance Plethysmography, Thoracic Impedance, Accelerometers, and Gyroscopes: A Machine Learning-Informed Comparative Study.

Psychophysiology Feb 1, 2025
Speech production interferes with the measurement of changes in cardiac vagal activity during acute stress by attenuating the expected drop in heart rate variability. Speech also induces cardiac sympathetic changes similar to those induced by psychol...
Adolescent Electric Impedance Accelerometry Plethysmography Young Adult Humans Machine Learning Adult Female Male Speech
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An artificial intelligence model for Lhermitte's sign in patients with pediatric-onset multiple sclerosis: A follow-up study.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Feb 1, 2025
BACKGROUND: Lhermitte's sign (LS) is an important clinical marker for patients with multiple sclerosis (MS). Research on pediatric-onset MS (POMS) and LS is limited. To date, there has been no research conducted on the clinical and artificial intelli...
Adolescent Humans Child Artificial Intelligence Follow-Up Studies Multiple Sclerosis Female Magnetic Resonance Imaging Male Age of Onset
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Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Journal of cellular and molecular medicine Feb 1, 2025
The aim of this study was to validate the diagnostic potential of four previously identified miRNAs in two independent cohorts and to develop accurate classification models to predict invasiveness of bladder cancer. Furthermore, molecular subtypes we...
Humans Machine Learning Middle Aged Female Gene Expression Regulation, Neoplastic Aged MicroRNAs Urinary Bladder Neoplasms Biomarkers, Tumor Neoplasm Invasiveness Male
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Identifying Preliminary Risk Profiles for Dissociation in 16- to 25-Year-Olds Using Machine Learning.

Early intervention in psychiatry Feb 1, 2025
INTRODUCTION: Dissociation is associated with clinical severity, increased risk of suicide and self-harm, and disproportionately affects adolescents and young adults. Whilst evidence indicates multiple factors contribute to dissociative experiences, ...
Male Adolescent Stress, Psychological Adverse Childhood Experiences United Kingdom Loneliness Dissociative Disorders Risk Factors Young Adult Adult Cross-Sectional Studies Humans Machine Learning Female
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Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning.

Journal of cosmetic dermatology Feb 1, 2025
OBJECTIVES: To establish, evaluate and compare three recurrence prediction models for keloid patients using machine learning methods.
Humans ROC Curve Male Decision Trees Middle Aged Machine Learning Keloid Postoperative Complications Prognosis Predictive Learning Models Recurrence Adolescent Female Adult
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Identification of Depression Subtypes in Parkinson's Disease Patients via Structural MRI Whole-Brain Radiomics: An Unsupervised Machine Learning Study.

CNS neuroscience & therapeutics Feb 1, 2025
OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkinson's disease (DPD). Radiomics features have gradually shown potential as auxiliary diagnostic tools in identifying and distinguishing different subtyp...
Unsupervised Machine Learning Middle Aged Depression Magnetic Resonance Imaging Parkinson Disease Humans Aged Brain Radiomics Female Male
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Association of machine-learning-rated supportive counseling skills with psychotherapy outcome.

Journal of consulting and clinical psychology Feb 1, 2025
OBJECTIVE: This study applied a machine-learning-based skill assessment system to investigate the association between supportive counseling skills (empathy, open questions, and reflections) and treatment outcomes. We hypothesized that higher empathy ...
Empathy Professional-Patient Relations Clinical Competence Treatment Outcome Psychotherapy Counseling Humans Machine Learning Female Young Adult Adult Male Middle Aged
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Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models.

Pharmacology research & perspectives Feb 1, 2025
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximum at 1500-2000 mg/day in patients with type 2 diabetes (T2D) in the U.S. In Japan, there is little evidence on the HbA1c-lowering effect of high-dose ...
Humans Machine Learning Diabetes Mellitus, Type 2 Hypoglycemic Agents Longitudinal Studies Dose-Response Relationship, Drug Female Aged Male Middle Aged East Asian People Glycated Hemoglobin Japan Metformin
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints.

The Journal of international medical research Feb 1, 2025
OBJECTIVE: To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA).
Aged Synovitis Adult Male Middle Aged Convolutional Neural Networks Humans Arthritis, Rheumatoid Neural Networks, Computer Ultrasonography, Doppler Retrospective Studies Joints Female
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Intensive Care Units Female Aged Male Humans Machine Learning Regression Analysis Retrospective Studies Middle Aged Emergency Service, Hospital Risk Assessment Registries ROC Curve Norepinephrine Shock, Septic
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