AIMC Topic: Aged

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Exploring key factors influencing depressive symptoms among middle-aged and elderly adult population: A machine learning-based method.

Archives of gerontology and geriatrics Oct 2, 2024
OBJECTIVE: This paper aims to investigate the key factors, including demographics, socioeconomics, physical well-being, lifestyle, daily activities and loneliness that can impact depressive symptoms in the middle-aged and elderly population using mac...
Socioeconomic Factors Activities of Daily Living Life Style Loneliness Male Middle Aged Depression Surveys and Questionnaires Female Risk Factors Aged Cross-Sectional Studies Humans Machine Learning
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Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study.

Journal of critical care Oct 2, 2024
BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with seve...
Middle Aged Gastrointestinal Hemorrhage Intensive Care Units Female Aged Male Algorithms Prognosis Critical Illness Humans Machine Learning
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A machine learning algorithm for the identification elevated Lp(a) in patients with, or high-risk of having, coronary heart disease.

International journal of cardiology Oct 2, 2024
BACKGROUND: Decision tree algorithms, obtained by machine learning, provide clusters of patients with similar clinical patterns by the identification of variables that best merge with a given dependent variable.
Spain Lipoprotein(a) Male Middle Aged Registries Coronary Disease Female Risk Factors Aged Humans Adult Machine Learning Algorithms
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Middle Aged Aged Risk Assessment Cross Infection Sepsis Adult Humans Hospital Mortality Machine Learning Sensitivity and Specificity ROC Curve Intensive Care Units Male Shock, Septic Female Critical Care Early Diagnosis
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Comparison of Patients With and Without Predicted Surgical Indication Between Clusters of Adult Spine Deformity (ASD) Patients.

Spine Oct 1, 2024
STUDY DESIGN: Multicentric, retrospective analysis of prospectively collected data.
Humans Machine Learning Retrospective Studies Female Treatment Outcome Cluster Analysis Follow-Up Studies Aged Scoliosis Adult Minimal Clinically Important Difference Male Middle Aged
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Machine learning models for discriminating clinically significant from clinically insignificant prostate cancer using bi-parametric magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey) Oct 1, 2024
PURPOSE: This study aims to demonstrate the performance of machine learning algorithms to distinguish clinically significant prostate cancer (csPCa) from clinically insignificant prostate cancer (ciPCa) in prostate bi-parametric magnetic resonance im...
Prostatic Neoplasms Neoplasm Grading Prostate Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Retrospective Studies Aged Middle Aged Male Support Vector Machine Magnetic Resonance Imaging
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Humans Algorithms Adult Sensitivity and Specificity Male Middle Aged Deep Learning Retrospective Studies Female Reproducibility of Results Aged Cardiomyopathy, Hypertrophic Image Processing, Computer-Assisted Myocardial Ischemia Heart Magnetic Resonance Imaging, Cine Heart Ventricles Cardiomyopathy, Dilated Image Interpretation, Computer-Assisted
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Machine Learning-Based Clustering Using a 12-Lead Electrocardiogram in Patients With a Implantable Cardioverter Defibrillator to Identify Future Ventricular Arrhythmia.

Circulation journal : official journal of the Japanese Circulation Society Oct 1, 2024
BACKGROUND: Implantable cardioverter defibrillators (ICDs) reduce mortality associated with ventricular arrhythmia in high-risk patients with cardiovascular disease. Machine learning (ML) approaches are promising tools in arrhythmia research; however...
Humans Machine Learning Aged Male Middle Aged Retrospective Studies Defibrillators, Implantable Female Electrocardiography Cluster Analysis Arrhythmias, Cardiac Tachycardia, Ventricular
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Development of the machine learning model that is highly validated and easily applicable to predict radiographic knee osteoarthritis progression.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Oct 1, 2024
Many models using the aid of artificial intelligence have been recently proposed to predict the progression of knee osteoarthritis. However, previous models have not been properly validated with an external data set or have reported poor predictive p...
Female Aged Male Middle Aged Osteoarthritis, Knee Humans Disease Progression Machine Learning Radiography Retrospective Studies
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Development of learning-based predictive models for radiation-induced atrial fibrillation in non-small cell lung cancer patients by integrating patient-specific clinical, dosimetry, and diagnostic information.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 1, 2024
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac adverse events, including atrial fibrillation (AF), despite advanced RT. This study integrates patient-specific information to develop learning-based m...
Aged Male Middle Aged Chemoradiotherapy Deep Learning Lung Neoplasms Humans Radiation Injuries Carcinoma, Non-Small-Cell Lung Machine Learning Atrial Fibrillation Female Radiotherapy Dosage
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