Aged, 80 and over

Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.

The journal of prevention of Alzheimer's disease Mar 8, 2025

BACKGROUND: Integrating machine learning with medical records offers potential for early detection of Alzheimer's disease (AD), enabling timely interventions.

Female Middle Aged Sweden Alzheimer Disease Aged Aged, 80 and over Early Diagnosis Humans Adult Sensitivity and Specificity Machine Learning Male

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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...

Deep Learning Humans Aged Machine Learning Cognitive Dysfunction Aged, 80 and over Biomarkers Proteomics Male Female Support Vector Machine Middle Aged

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An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

Aging clinical and experimental research Mar 7, 2025

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of muscle mass and function, resulting in adverse health outcomes such as falls, functional decline, and death. Knee osteoarthritis (KOA) is a common chro...

China Longitudinal Studies East Asian People Sarcopenia Osteoarthritis, Knee Risk Factors Aged Humans Aged, 80 and over Machine Learning Male Female

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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025

OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...

Veterans United States Department of Defense Suicide, Completed Predictive Learning Models Psychological Well-Being Suicide Prevention United States Natural Language Processing United States Department of Veterans Affairs Humans Middle Aged Risk Assessment Electronic Health Records Case-Control Studies Female Adolescent Young Adult Adult Male Aged Aged, 80 and over

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Developing an interpretable machine learning model for screening depression in older adults with functional disability.

Journal of affective disorders Mar 4, 2025

This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...

Machine Learning Female Aged Humans Longitudinal Studies Aged, 80 and over Depression Persons with Disabilities Male Logistic Models Middle Aged Mass Screening China

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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025

SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.

Male Middle Aged Diagnosis, Computer-Assisted Support Vector Machine Carcinoma, Basal Cell Carcinoma, Squamous Cell Aged Aged, 80 and over Keratosis, Actinic Spectrometry, Fluorescence Discriminant Analysis Skin Optical Imaging Machine Learning Female Skin Neoplasms Humans

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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025

BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...

Retrospective Studies Female Risk Factors Aged Humans Aged, 80 and over Treatment Outcome Aortic Aneurysm, Thoracic Machine Learning Male Blood Vessel Prosthesis Implantation Predictive Value of Tests Databases, Factual Risk Assessment Endovascular Procedures Postoperative Complications

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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study.

JMIR aging Mar 3, 2025

BACKGROUND: Depression, characterized by persistent sadness and loss of interest in daily activities, greatly reduces quality of life. Early detection is vital for effective treatment and intervention. While many studies use wearable devices to class...

Humans Feasibility Studies Male Quality of Life Exercise Depression Wearable Electronic Devices Machine Learning Female Aged Aged, 80 and over

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Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkers.

Fluids and barriers of the CNS Mar 3, 2025

PURPOSE: This study explores the application of machine learning to high-dimensional proteomics datasets for identifying Alzheimer's disease (AD) biomarkers. AD, a neurodegenerative disorder affecting millions worldwide, necessitates early and accura...

Hydrocephalus, Normal Pressure Humans Machine Learning Biomarkers Female Male Aged Proteomics Aged, 80 and over Alzheimer Disease

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Diffusion-Weighted Imaging-Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke.

The neurologist Mar 1, 2025

OBJECTIVES: The evaluation of the prognosis of patients with acute ischemic stroke (AIS) is of great significance in clinical practice. We aim to evaluate the feasibility and effectiveness of diffusion-weighted imaging (DWI) image-based radiomics fea...

Humans Machine Learning Prognosis Female Middle Aged Aged Support Vector Machine Aged, 80 and over Ischemic Stroke Radiomics Diffusion Magnetic Resonance Imaging Male

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.

Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Developing an interpretable machine learning model for screening depression in older adults with functional disability.

Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study.

Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkers.

Diffusion-Weighted Imaging-Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke.

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