AIMC Topic: Aged

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Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool.

Annals of medicine Mar 11, 2025
BACKGROUND: Adequate bowel preparation is crucial for effective colonoscopy, especially in elderly patients who face a high risk of inadequate preparation. This study develops and validates a machine learning model to predict bowel preparation adequa...
Cathartics Colonoscopy Logistic Models Support Vector Machine Internet Humans Machine Learning Algorithms Aged, 80 and over Sensitivity and Specificity Male Female Aged
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Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

Journal of infection and public health Mar 11, 2025
BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negative individuals is increasing. In HIV-negative individuals, talaromycosis is usually misdiagnosed as another disease, especially tuberculosis (TB).
ROC Curve Aged Humans Diagnosis, Differential Adult Early Diagnosis Tuberculosis, Pulmonary Machine Learning Mycoses Male Tuberculosis HIV Seronegativity Middle Aged Talaromyces Retrospective Studies Female
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Angioplasty Female Reproducibility of Results Risk Factors Aged Machine Learning Decision Support Techniques Glomerular Filtration Rate Retrospective Studies Humans Male Contrast Media Lower Extremity Acute Kidney Injury Middle Aged Peripheral Arterial Disease Risk Assessment Predictive Value of Tests Treatment Outcome
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A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.

The Knee Mar 11, 2025
BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predic...
Humans Machine Learning Female Aged Gait Arthroplasty, Replacement, Knee Gait Analysis Osteoarthritis, Knee Male Joint Instability Middle Aged Cluster Analysis Knee Joint
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Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

Diabetes, obesity & metabolism Mar 11, 2025
AIMS: Numerous risk factors for the development of obesity have been identified, yet the aetiology is not well understood. Traditional statistical methods for analysing observational data are limited by the volume and characteristics of large dataset...
Body Mass Index Obesity Weight Gain Electronic Health Records Female Risk Factors Aged Middle Aged Risk Assessment United States Adult Male Humans Machine Learning Algorithms
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Digital Cytology Combined With Artificial Intelligence Compared to Conventional Microscopy for Anal Cytology: A Preliminary Study.

Cytopathology : official journal of the British Society for Clinical Cytology Mar 11, 2025
INTRODUCTION: Recent studies have shown that digital cytology (DC) coupled with artificial intelligence (AI) algorithms is a valid approach to the diagnosis of cervico-vaginal lesions using liquid-based cytology (LBC). We evaluated the use of these m...
Cytodiagnosis Microscopy Anus Neoplasms Anal Canal Aged Adult Uterine Cervical Neoplasms Middle Aged Humans Artificial Intelligence Female
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Using Machine Learning Models to Diagnose Chronic Rhinosinusitis: Analysis of Pre-Treatment Patient-Generated Health Data to Predict Cardinal Symptoms and Sinonasal Inflammation.

American journal of rhinology & allergy Mar 11, 2025
BackgroundThe diagnosis of chronic rhinosinusitis (CRS) relies upon patient-reported symptoms and objective nasal endoscopy and/or computed tomography (CT) findings. Many patients, at the time of evaluation by an otolaryngologist or rhinologist, lack...
Tomography, X-Ray Computed Female Aged Humans Machine Learning Rhinitis Chronic Disease Rhinosinusitis Patient Reported Outcome Measures Adult Male Middle Aged Sinusitis
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PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

BMC research notes Mar 11, 2025
OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bone mineral density (BMD) testing, which has limitations in early detection. This study aims to develop and validate a machine learning approach for ost...
United States Male Middle Aged Risk Assessment Nutrition Surveys Humans Risk Factors Machine Learning Osteoporosis Aged Algorithms Female Adult Bone Density
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Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

BMC medical informatics and decision making Mar 11, 2025
OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for training and testing the model, ...
Machine Learning Algorithms Osteoporosis Female Humans Middle Aged Aged Aged, 80 and over Adult Male
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Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

BMC musculoskeletal disorders Mar 11, 2025
BACKGROUND: Periprosthetic joint infection leads to significant morbidity and mortality after total knee arthroplasty. Preoperative and perioperative risk prediction and assessment tools are lacking in Asia. This study developed the first machine lea...
Humans Machine Learning Retrospective Studies Female Prosthesis-Related Infections Risk Assessment Arthroplasty, Replacement, Knee Preoperative Period Risk Factors Knee Prosthesis Aged Male Middle Aged
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