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A Proof-of-Concept Development on Speech Analysis for Concussion Detection.

Studies in health technology and informatics Aug 7, 2025
Speech signal analysis to support objective clinical decision-making has gained immense interest, especially in neurological disorders. This research assessed the feasibility of speech analysis on the detection of concussions. Using a speech dataset ...
Humans Machine Learning Female Support Vector Machine Proof of Concept Study Brain Concussion Adult Sensitivity and Specificity Male
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Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.

Studies in health technology and informatics Aug 7, 2025
INTRODUCTION: Early detection and intervention are crucial for reducing the impacts of depression and associated healthcare costs. Few studies have used electronic health records (EHR) and machine learning (ML) with a longitudinal design to predict d...
Middle Aged Depressive Disorder, Major Primary Health Care Machine Learning Algorithms Prognosis Retrospective Studies Electronic Health Records Female Adult Male Humans
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Development of Multivariable Prediction Models for 30-Day Risk of Readmission After COPD Hospital Admission: A Retrospective Cohort Study Using Electronic Medical Record Data from 7 Hospitals.

Studies in health technology and informatics Aug 7, 2025
BACKGROUND: Approximately 20% of patients who are discharged from hospital for an acute exacerbation of COPD (AECOPD) are readmitted within 30 days. Prediction scores are helpful to identify those who are at higher risk of readmission, such that they...
Canada Patient Readmission Risk Factors Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Humans Risk Assessment Retrospective Studies Ontario Electronic Health Records Female
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Lower Extremity Bypass Surveillance and Peak Systolic Velocities Value Prediction Using Recurrent Neural Networks.

Studies in health technology and informatics Aug 7, 2025
Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-pedal vein bypass grafts at various post-operative intervals. Currently, there is no systematic method for bypass graft surveillance using a set of peak ...
Neural Networks, Computer Female Aged Male Humans Graft Occlusion, Vascular Ultrasonography, Doppler, Duplex Recurrent Neural Networks Middle Aged Lower Extremity Blood Flow Velocity
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Predicting Diabetes Using Convolutional Neural Networks and EKG Entropy Analysis.

Studies in health technology and informatics Aug 7, 2025
Heart Rate Variability (HRV) is associated with diabetic complications. This analysis can quantify changes in heart rate variability, and it may help detect early alterations in diabetes. This study aimed to design and validate a Convolutional Neural...
Humans Diabetes Mellitus Heart Rate Entropy Male Diagnosis, Computer-Assisted Neural Networks, Computer Convolutional Neural Networks Female Electrocardiography Sensitivity and Specificity
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Constrained Tensor Factorization for Cancer Phenotyping and Mortality Prediction.

Studies in health technology and informatics Aug 7, 2025
Electronic health records (EHR) enable machine learning methods like tensor factorization to extract computational phenotypes. Using Northwestern Medicine data (2000-2015), we analyzed breast, prostate, colorectal, and lung cancer cohorts to predict ...
Data Mining Survival Analysis Female Male Neoplasms Humans Machine Learning Phenotype Electronic Health Records
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Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.

Studies in health technology and informatics Aug 7, 2025
Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predicting its likelihood can help guide clinical decision-making and optimize preoperative planning. This study utilized real-world electronic health record...
Humans Machine Learning Middle Aged Electronic Health Records Risk Assessment Kidney Neoplasms Female Nephrectomy Aged Male
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Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes.

Cancer discovery Aug 4, 2025
UNLABELLED: Diagnostic delays in patients with brain cancer are common and can impact patient outcome. Development of a blood-based assay for detection of brain cancers could accelerate brain cancer diagnosis. In this study, we analyzed genome-wide c...
Male Middle Aged Glioma Cell-Free Nucleic Acids Female Aged Humans Biomarkers, Tumor Brain Neoplasms Machine Learning
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Machine learning diagnosis of cognitive impairment and dementia in harmonized older adult cohorts.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 1, 2025
INTRODUCTION: Clinical diagnosis (normal cognition, mild cognitive impairment [MCI], dementia) is critical for understanding cognitive impairment and dementia but can be resource intensive and subject to inconsistencies due to complex clinical judgme...
Cognitive Dysfunction Female Dementia Aged Longitudinal Studies Humans Aged, 80 and over Cohort Studies Neuropsychological Tests Machine Learning Male Algorithms
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Predicting p53 Status in IDH-Mutant Gliomas Using MRI-Based Radiomic Model.

Cancer medicine Aug 1, 2025
OBJECTIVES: Accurate and noninvasive detection of p53 status in isocitrate dehydrogenase mutant (IDH-mt) glioma is clinically meaningful for molecular stratification of glioma, yet it remains challenging. We aimed to investigate the diagnostic effica...
Isocitrate Dehydrogenase Glioma Humans Male Retrospective Studies Magnetic Resonance Imaging Young Adult Machine Learning Middle Aged Female Adult Mutation Nomograms Aged Radiomics Tumor Suppressor Protein p53 Brain Neoplasms
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