AIMC Topic: Decision Support Techniques

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Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis.

BMC cardiovascular disorders Apr 7, 2025
BACKGROUND: Heart failure (HF) impacts nearly 6 million individuals in the U.S., with a projected 46% increase by 2030, is creating significant healthcare burdens. Predictive models, particularly machine learning (ML)-based models, offer promising so...
Risk Factors Aged Male Risk Assessment Predictive Value of Tests Decision Support Techniques Prognosis Female Reproducibility of Results Heart Failure Patient Readmission Humans Machine Learning
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AI as a decision support tool in forensic image analysis: A pilot study on integrating large language models into crime scene investigation workflows.

Journal of forensic sciences Apr 4, 2025
This study evaluates the effectiveness of artificial intelligence (AI) tools (ChatGPT-4, Claude, and Gemini) in forensic image analysis of crime scenes, marking a significant step toward developing bespoke AI models for forensic applications. The res...
Decision Support Techniques Pilot Projects Image Processing, Computer-Assisted Workflow Forensic Sciences Humans Artificial Intelligence Large Language Models
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Improved prediction and risk stratification of major adverse cardiovascular events using an explainable machine learning approach combining plasma biomarkers and traditional risk factors.

Cardiovascular diabetology Apr 2, 2025
BACKGROUND: Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality globally. Traditional risk models, primarily based on established risk factors, often lack the precision needed to accurately predict new-onset major advers...
Cardiovascular Diseases Middle Aged Risk Assessment Time Factors Metabolomics Predictive Value of Tests Heart Disease Risk Factors Humans Biomarkers United Kingdom Machine Learning Prognosis Decision Support Techniques Female Aged Male
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Machine Learning Models predicting Decompensation in Cirrhosis.

Journal of gastrointestinal and liver diseases : JGLD Mar 27, 2025
BACKGROUND AND AIMS: Decompensation of cirrhosis significantly decreases survival, thus, prevention of complications is paramount. We used machine learning techniques to identify parameters predicting decompensation.
Liver Cirrhosis Support Vector Machine Predictive Value of Tests Bilirubin Proof of Concept Study Machine Learning Humans Biomarkers Decision Support Techniques Aged Prognosis Databases, Factual Male Retrospective Studies Prospective Studies Middle Aged Female Risk Assessment Risk Factors
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Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study.

BMC cardiovascular disorders Mar 27, 2025
BACKGROUND: Systemic embolic events due to exfoliation of intracardiac thrombus (ICT) are one of the catastrophic complications of dilated cardiomyopathy (DCM). This study intended to develop a prediction model to predict the risk of ICT in patients ...
Predictive Value of Tests Thrombosis Heart Diseases Cardiomyopathy, Dilated Male Middle Aged Risk Assessment Support Vector Machine Female Reproducibility of Results Risk Factors Aged Adult Humans Decision Support Techniques Prognosis Retrospective Studies
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Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

JACC. Cardiovascular imaging Mar 26, 2025
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Machine Learning Decision Support Techniques Phenotype Prognosis Retrospective Studies Aortic Valve Female Humans Unsupervised Machine Learning Reproducibility of Results Risk Assessment Adult Predictive Value of Tests Risk Factors Magnetic Resonance Imaging, Cine Disease Progression Sex Factors Male Aged Severity of Illness Index Aortic Valve Insufficiency Ventricular Function, Left Time Factors Middle Aged United States
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Optimization of Decision Support Technology for Offshore Oil Condition Monitoring with Carbon Neutrality as the Goal in the Enterprise Development Process.

PloS one Mar 25, 2025
This study aims to explore the integration of the Faster R-CNN (Region-based Convolutional Neural Network) algorithm from deep learning into the MobileNet v2 architecture, within the context of enterprises aiming for carbon neutrality in their develo...
Neural Networks, Computer Algorithms Decision Support Techniques Deep Learning Environmental Monitoring Carbon Conservation of Natural Resources Petroleum
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Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.

Vascular and endovascular surgery Mar 24, 2025
ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal aortic aneurysms (AAA) due to its minimally invasive approach. However, identifying factors that influence long-term patient outcomes is crucial for imp...
Female Risk Factors Aged Aged, 80 and over Male Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Predictive Value of Tests Aortic Aneurysm, Abdominal Blood Vessel Prosthesis Implantation Endovascular Procedures Endovascular Aneurysm Repair Middle Aged Risk Assessment Time Factors Treatment Outcome Decision Trees Humans
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Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance.

BMC cardiovascular disorders Mar 22, 2025
Cardiovascular disease is the leading cause of mortality globally, necessitating precise and prompt predictive instruments to enhance patient outcomes. In recent years, machine learning methodologies have demonstrated significant potential in enhanci...
Heart Diseases Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Predictive Value of Tests Prognosis Female Reproducibility of Results Aged Humans Machine Learning Decision Support Techniques Databases, Factual
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A decision-making framework for evaluating medical equipment suppliers under uncertainty.

Scientific reports Mar 21, 2025
The procurement of medical equipment is a critical concern for healthcare organizations striving to deliver comprehensive patient care. Thus, the procurement process, including performance evaluation and selection of medical equipment suppliers, pose...
Humans Decision Support Techniques Fuzzy Logic Decision Making Equipment and Supplies Uncertainty
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