AIMC Topic: Decision Support Techniques

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Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at significantly high risk of cardiovascular events (CVEs), however the predictive performance of traditional risk prediction methods are limited.
Diabetes Mellitus Predictive Value of Tests Heart Disease Risk Factors Decision Support Techniques Databases, Factual Prognosis Female Aged Incidence Time Factors Renal Insufficiency, Chronic Male Middle Aged Risk Assessment Humans Machine Learning
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study.

Cardiovascular diabetology Feb 7, 2025
BACKGROUND: Cardiovascular complications are major concerns for Chinese patients with type 2 diabetes. Accurately predicting these risks remains challenging due to limitations in traditional risk models. We aimed to develop a dynamic prediction model...
Male Cardiovascular Diseases Middle Aged Risk Assessment China Time Factors Diabetes Mellitus, Type 2 East Asian People Predictive Value of Tests Heart Disease Risk Factors Decision Support Techniques Prognosis Female Reproducibility of Results Aged Humans Machine Learning
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Reproducibility of Results Risk Factors Aged Male Middle Aged Humans Machine Learning Decision Support Techniques Prognosis Female Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Risk Assessment Severity of Illness Index Adipose Tissue Predictive Value of Tests Coronary Angiography
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Prognosis modelling of adverse events for post-PCI treated AMI patients based on inflammation and nutrition indexes.

BMC cardiovascular disorders Jan 23, 2025
OBJECTIVE: This study aimed to evaluate the predictive performance of inflammatory and nutritional indices for adverse cardiovascular events (ACE) in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) using...
Nutrition Assessment Risk Assessment Female Inflammation Predictive Value of Tests Risk Factors Treatment Outcome Humans Percutaneous Coronary Intervention Decision Trees Aged Neural Networks, Computer Myocardial Infarction Machine Learning Male Inflammation Mediators Decision Support Techniques Middle Aged Nutritional Status Biomarkers
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Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique.

BMC cardiovascular disorders Jan 18, 2025
Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 in 4 deaths happens due to it. The disease prevalence rate becomes higher since there is an inadequate system/model for predicting CVD at an earliest. ...
Reproducibility of Results Risk Factors Male Cardiovascular Diseases Middle Aged Humans Diabetic Retinopathy Decision Support Techniques Risk Assessment Prognosis Deep Learning Female Predictive Value of Tests Early Diagnosis
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Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories.

PloS one Jan 14, 2025
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, i...
Fuzzy Logic Decision Making Conservation of Energy Resources Renewable Energy Decision Support Techniques
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Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

BMC health services research Jan 11, 2025
BACKGROUND: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital...
Male Middle Aged Humans Length of Stay Neural Networks, Computer Machine Learning Patient Discharge Nova Scotia Decision Support Techniques Female Aged Adult
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes - A large multi-centre study in Australia and New Zealand.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jan 9, 2025
BACKGROUND AND AIMS: Type 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
New Zealand Male Middle Aged Risk Assessment Prognosis Humans Deep Learning Australia Female Machine Learning Diabetes Mellitus, Type 1 Adolescent Risk Factors Predictive Value of Tests Decision Support Techniques Diabetic Ketoacidosis Young Adult Prospective Studies Glycated Hemoglobin Support Vector Machine Adult Biomarkers
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Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model.

Transplantation Jan 9, 2025
BACKGROUND: Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered usin...
Retrospective Studies Graft Survival Male Liver Transplantation Female Treatment Outcome Middle Aged Perfusion Risk Assessment Predictive Value of Tests Risk Factors Spain Time Factors Aged Humans Tissue Donors Adult Machine Learning Algorithms Decision Support Techniques
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Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

The international journal of cardiovascular imaging Jan 9, 2025
Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessme...
Humans Decision Support Techniques Prognosis Electronic Health Records Female Aged, 80 and over Male Middle Aged Reproducibility of Results Feasibility Studies Risk Factors Heart Failure Aged Radiography, Thoracic Risk Assessment Deep Learning Time Factors Hospital Mortality Predictive Value of Tests
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