AIMC Topic: Aged

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Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study.

Cancer research and treatment Sep 6, 2024
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous int...
Atypical Squamous Cells of the Cervix Humans Machine Learning Algorithms Republic of Korea Female Cohort Studies Genotype Papillomavirus Infections Aged Early Detection of Cancer Adult Papillomaviridae Uterine Cervical Neoplasms Middle Aged Risk Assessment
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The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Sep 6, 2024
OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), is on the rise globally and new methods to improve skin malignancy diagnosis are necessary. This study aims t...
Deep Learning Head and Neck Neoplasms Longitudinal Studies Keratosis, Seborrheic Keratosis, Actinic Aged Aged, 80 and over Male Middle Aged Cheilitis Humans Algorithms Prospective Studies Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Reproducibility of Results
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Imatinib adherence prediction using machine learning approach in patients with gastrointestinal stromal tumor.

Cancer Sep 6, 2024
BACKGROUND: Nonadherence to imatinib is common in patients with gastrointestinal stromal tumor (GIST), which is associated with poor prognosis and financial burden. The primary aim of this study was to investigate the adherence rate in patients with ...
Humans Machine Learning Algorithms Female Deep Learning Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Imatinib Mesylate Assessment of Medication Adherence Aged Adult Male Middle Aged Antineoplastic Agents
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Association of N-terminal pro-B natriuretic peptide with all-cause mortality and cardiovascular mortality in obese and non-obese populations and the development of a machine learning prediction model: National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Diabetes, obesity & metabolism Sep 6, 2024
AIMS: To explore the potential of N-terminal pro-B natriuretic peptide (NTproBNP) in identifying adverse outcomes, particularly cardiovascular adverse outcomes, in a population with obesity, and to establish a risk prediction model.
Proportional Hazards Models Predictive Value of Tests Peptide Fragments Cause of Death Natriuretic Peptide, Brain Female Aged Adult Male Cardiovascular Diseases Middle Aged Risk Assessment Nutrition Surveys Humans United States Machine Learning Obesity Biomarkers
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Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: A blinded clinical study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 6, 2024
BACKGROUND AND PURPOSE: This study aimed to evaluate the plan quality of our deep learning-based automated treatment planning method for robustly optimized intensity-modulated proton therapy (IMPT) plans in patients with oropharyngeal carcinoma (OPC)...
Humans Prospective Studies Retrospective Studies Female Aged Male Middle Aged Deep Learning Oropharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy
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Machine learning model identifies patient gait speed throughout the episode of care, generating notifications for clinician evaluation.

Gait & posture Sep 6, 2024
INTRODUCTION: The advent of digital and mobile health innovations, especially use of wearables for passive data collection, allows remote monitoring and creates an abundance of data. For this information to be interpretable, machine learning (ML) pro...
Arthroplasty, Replacement, Hip Walking Speed Aged Male Middle Aged Smartphone Arthroplasty, Replacement, Knee Humans Machine Learning Female
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Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

European journal of heart failure Sep 6, 2024
AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abn...
Female Risk Factors Aged Male Echocardiography Humans Machine Learning Phenotype Biomarkers Heart Failure Diabetic Cardiomyopathies Middle Aged Risk Assessment Incidence United States
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A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies.

JAMA health forum Sep 6, 2024
IMPORTANCE: During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (...
United States Food and Drug Administration COVID-19 Drug Treatment Health Care Rationing Adolescent Emergency Use Authorization Electronic Health Records Humans Young Adult Antibodies, Viral Female Machine Learning Adult Health Policy SARS-CoV-2 COVID-19 Male Antibodies, Monoclonal Hospitalization Retrospective Studies Middle Aged Random Forest Aged Severity of Illness Index
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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.

Scientific reports Sep 6, 2024
Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Her...
Aged, 80 and over Male Middle Aged Wearable Electronic Devices Humans Gait Wrist Algorithms Supervised Machine Learning Female Activities of Daily Living Aged Accelerometry
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Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation.

Scientific reports Sep 6, 2024
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of difficult weaning contributes to increased ventilator-related complications, prolonged hospitalization duration, and a significant rise in healthcare cost...
ROC Curve Ventilator Weaning Aged Male Middle Aged Machine Learning Risk Assessment Intensive Care Units Respiration, Artificial Female Risk Factors Humans
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