AIMC Topic: Risk Assessment

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Machine Learning to Predict Early Death Despite Pancreaticoduodenectomy.

The Journal of surgical research Apr 26, 2025
INTRODUCTION: About 25% of patients undergoing pancreaticoduodenectomy (PD) for right-sided pancreatic ductal adenocarcinoma (PDAC) die within 1 y of diagnosis. These patients carry all the risks of significant morbidity with no survival advantage wh...
Humans Machine Learning Retrospective Studies Female Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Pancreaticoduodenectomy Medical Futility Aged Male Middle Aged Risk Assessment
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Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study.

Renal failure Apr 24, 2025
BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with increased cardiovascular risk. However, early screening has been limited by cost concerns. This study aimed to develop and validate a machine learning mo...
Middle Aged Humans Risk Assessment Machine Learning Renal Dialysis Logistic Models Female Aged Male Calcinosis Kidney Failure, Chronic Heart Valve Diseases Early Diagnosis
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Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Scientific reports Apr 24, 2025
Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, significantly disrupting daily life. The objective of this stu...
Middle Aged Risk Assessment Nutrition Surveys Humans Osteoarthritis Risk Factors Aged Male Machine Learning Algorithms Female
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Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Scientific reports Apr 24, 2025
Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post-operative complications. However, there are no widely used tools to predict surgical risk in this population. We used machine learning (ML) technique...
Humans Machine Learning Algorithms Female Risk Factors Aged Male Middle Aged Risk Assessment Postoperative Complications Treatment Outcome Aortic Aneurysm, Abdominal
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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor.

Scientific reports Apr 24, 2025
Heart disease is becoming more and more common in modern society because of factors like stress, inadequate diets, etc. Early identification of heart disease risk factors is essential as it allows for treatment plans that may reduce the risk of sever...
Risk Assessment Big Data Heart Diseases Heart Disease Risk Factors Humans Machine Learning Delivery of Health Care Risk Factors
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering.

Clinical interventions in aging Apr 24, 2025
PURPOSE: This study aimed to identify the high-risk group for root caries using unsupervised machine learning and to explore the associated factors.
ROC Curve Aged Humans Logistic Models Unsupervised Machine Learning Cross-Sectional Studies Female Age Factors Root Caries Male Cluster Analysis Risk Assessment Risk Factors
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Elucidating predictors of preoperative acute heart failure in older people with hip fractures through machine learning and SHAP analysis: a retrospective cohort study.

BMC geriatrics Apr 23, 2025
BACKGROUND: Acute heart failure (AHF) has become a significant challenge in older people with hip fractures. Timely identification and assessment of preoperative AHF have become key factors in reducing surgical risks and improving outcomes.
Heart Failure Hip Fractures Preoperative Period Humans Machine Learning Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Risk Assessment Cohort Studies Acute Disease
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Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis.

BMC cardiovascular disorders Apr 23, 2025
INTRODUCTION: Percutaneous coronary intervention (PCI) has been the main treatment of coronary artery disease (CAD). In this review, we aimed to compare the performance of machine learning (ML) vs. logistic regression (LR) models in predicting differ...
Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Risk Factors Aged Male Middle Aged Percutaneous Coronary Intervention Coronary Artery Disease Humans Machine Learning Decision Support Techniques Female Reproducibility of Results
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Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment.

BMC genomics Apr 23, 2025
BACKGROUND: Influenza A virus (IAV) is a major global health threat, causing seasonal epidemics and occasional pandemics. Particularly, Influenza A viruses from avian species pose significant zoonotic threats, with PB2 adaptation serving as a critica...
Animals Risk Assessment Influenza in Birds Birds Humans Machine Learning Zoonoses Influenza A virus RNA-Dependent RNA Polymerase Mutation Viral Proteins
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Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

NPJ primary care respiratory medicine Apr 23, 2025
Primary care consultations provide an opportunity for patients and clinicians to assess asthma attack risk. Using a data-driven risk prediction tool with routinely collected health records may be an efficient way to aid promotion of effective self-ma...
Female Primary Health Care Logistic Models Longitudinal Studies Scotland Risk Factors Aged Adult Asthma Male Middle Aged Risk Assessment Humans Machine Learning
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