AIMC Topic: Predictive Value of Tests

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Machine learning model for age-related macular degeneration based on heavy metals: The National Health and Nutrition Examination Survey 2005 to 2008.

Scientific reports Nov 6, 2024
Age-related macular degeneration (AMD) is the leading cause of blindness in older people in developed countries. It has been suggested that heavy metal exposure may be associated with the development of AMD, but most studies have focused on the effec...
Cadmium Early Diagnosis Metals, Heavy Age Factors Predictive Value of Tests Environmental Exposure Fundus Oculi Macular Degeneration Male Middle Aged Risk Assessment Nutrition Surveys Humans Machine Learning Female Risk Factors Aged Aged, 80 and over Adult Cross-Sectional Studies
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Evaluating Advanced Machine Learning Models for Histopathological Diagnosis of Hansen Disease.

The American Journal of dermatopathology Nov 5, 2024
INTRODUCTION: Leprosy is a neglected infectious disease caused by Mycobacterium leprae and Mycobacterium lepromatosis and remains a public health challenge in tropical regions. Therefore, the development of technological tools such as machine learnin...
Humans Neural Networks, Computer Machine Learning Female Predictive Value of Tests Leprosy Adult Male Middle Aged Case-Control Studies Decision Trees
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CT-based deep learning model for predicting the success of extracorporeal shock wave lithotripsy in treating ureteral stones larger than 1 cm.

Urolithiasis Nov 5, 2024
OBJECTIVES: To develop a deep learning (DL) model based on computed tomography (CT) images to predict the success of extracorporeal shock wave lithotripsy (SWL) treatment for patients with ureteral stones larger than 1 cm.
Lithotripsy Deep Learning Treatment Outcome Predictive Value of Tests Ureter Ureteral Calculi Humans Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged
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Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

International journal of chronic obstructive pulmonary disease Nov 5, 2024
BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on scree...
Predictive Value of Tests Phenotype Female Risk Factors Aged Pulmonary Disease, Chronic Obstructive Humans Machine Learning Algorithms Male ROC Curve Middle Aged Genetic Predisposition to Disease Risk Assessment Polymorphism, Single Nucleotide Lung Genetic Association Studies Case-Control Studies Logistic Models
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Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence-Enabled ECGs.

Journal of the American Heart Association Nov 4, 2024
BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respectively) in children can lead to intervention to reduce morbidity and death. Existing artificial intelligence algorithms can identify LVSD and RVSD in ...
Humans Artificial Intelligence Algorithms Electrocardiography Predictive Value of Tests Ventricular Dysfunction, Right Echocardiography Ventricular Dysfunction, Left Retrospective Studies Infant Ventricular Function, Right Female Adolescent Male Child, Preschool Ventricular Function, Left Child Stroke Volume
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Prediction of the risk of mortality in older patients with coronavirus disease 2019 using blood markers and machine learning.

Frontiers in immunology Nov 1, 2024
INTRODUCTION: The mortality rate among older people infected with severe acute respiratory syndrome coronavirus 2 is alarmingly high. This study aimed to explore the predictive value of a novel model for assessing the risk of death in this vulnerable...
Male Predictive Value of Tests Biomarkers Leukocyte Count China Humans Female C-Reactive Protein Prediction Algorithms Monocytes SARS-CoV-2 Machine Learning Area Under Curve Neutrophils Aged COVID-19 Bayes Theorem Regression Analysis Aged, 80 and over Interleukin-6 Lymphocytes
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Applying stacking ensemble method to predict chronic kidney disease progression in Chinese population based on laboratory information system: a retrospective study.

PeerJ Nov 1, 2024
BACKGROUND AND OBJECTIVE: Chronic kidney disease (CKD) is a major public health issue, and accurate prediction of the progression of kidney failure is critical for clinical decision-making and helps improve patient outcomes. As such, we aimed to deve...
Male Middle Aged Disease Progression China Renal Insufficiency, Chronic Glomerular Filtration Rate East Asian People Predictive Value of Tests Clinical Laboratory Information Systems Retrospective Studies Electronic Health Records Humans Female Machine Learning Aged Algorithms Adult
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A Machine Learning-derived Risk Score Improves Prediction of Outcomes After LVAD Implantation: An Analysis of the INTERMACS Database.

Journal of cardiac failure Oct 31, 2024
BACKGROUND: Significant variability in outcomes after left ventricular assist device (LVAD) implantation emphasize the importance of accurately assessing patients' risk before surgery. This study assesses the Machine Learning Assessment of Risk and E...
Databases, Factual Prognosis Retrospective Studies Female Risk Factors Humans Machine Learning Treatment Outcome Predictive Value of Tests Registries Heart Failure Heart-Assist Devices Aged Male Middle Aged Risk Assessment Hospital Mortality
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Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.

International urology and nephrology Oct 31, 2024
BACKGROUND: Acute kidney injury (AKI) and contrast-induced nephropathy (CIN) are common complications following percutaneous coronary intervention (PCI) or coronary angiography (CAG), presenting significant clinical challenges. Machine learning (ML) ...
Predictive Value of Tests Coronary Angiography Percutaneous Coronary Intervention Humans Machine Learning Acute Kidney Injury Postoperative Complications Contrast Media
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Construction of a combined prognostic model for pancreatic ductal adenocarcinoma based on deep learning and digital pathology images.

BMC gastroenterology Oct 31, 2024
BACKGROUND: Deep learning has made significant advancements in the field of digital pathology, and the integration of multiple models has further improved accuracy. In this study, we aimed to construct a combined prognostic model using deep learning-...
Humans Carcinoma, Pancreatic Ductal Proportional Hazards Models Middle Aged Risk Assessment Prognosis Deep Learning Retrospective Studies Pancreatic Neoplasms Female Predictive Value of Tests Aged Male
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