AIMC Topic: Severity of Illness Index

Clear Filters Showing 151 to 160 of 836 articles

A genetic programming Rician noise reduction and explainable deep learning model for Alzheimer's diseases severity prediction.

Journal of Alzheimer's disease : JAD Oct 14, 2024
BACKGROUND: Degradation of magnetic resonance imaging (MRI) remains a challenging issue, with noise being a key damaging component introduced due to a variety of environmental and mechanical factors.
Deep Learning Magnetic Resonance Imaging Alzheimer Disease Female Aged Male Severity of Illness Index Humans Neural Networks, Computer Brain
View on PubMed DOI

Comparing ensemble learning algorithms and severity of illness scoring systems in cardiac intensive care units: a retrospective study.

Einstein (Sao Paulo, Brazil) Oct 14, 2024
BACKGROUND: Beatriz Nistal-Nuño designed a machine learning system type of ensemble learning for patients undergoing cardiac surgery and intensive care unit cardiology patients, based on sequences of cardiovascular physiological measurements and othe...
Aged Coronary Care Units Male Intensive Care Units Severity of Illness Index Female Middle Aged Humans Hospital Mortality Risk Assessment Machine Learning Reproducibility of Results ROC Curve Algorithms Risk Factors Logistic Models Retrospective Studies Cardiac Surgical Procedures
View on PubMed DOI

Assessing prospective molecular biomarkers and functional pathways in severe asthma based on a machine learning method and bioinformatics analyses.

The Journal of asthma : official journal of the Association for the Care of Asthma Oct 12, 2024
BACKGROUND: Severe asthma, which differs significantly from typical asthma, involves specific molecular biomarkers that enhance our understanding and diagnostic capabilities. The objective of this study is to assess the biological processes underlyin...
Humans Gene Expression Profiling Gene Regulatory Networks Computational Biology Databases, Genetic Gene Ontology Machine Learning Biomarkers Asthma Severity of Illness Index
View on PubMed DOI

Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Humans Retrospective Studies Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Female Reproducibility of Results Aged Male Vascular Calcification Phantoms, Imaging Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography
View on PubMed DOI

Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Asymptomatic Diseases Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Artery Disease Running Athletes Coronary Vessels Prospective Studies Reproducibility of Results Aged Middle Aged Male Humans Severity of Illness Index Artificial Intelligence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach.

JMIR cardio Sep 30, 2024
BACKGROUND: Valvular heart disease (VHD) is a leading cause of cardiovascular morbidity and mortality that poses a substantial health care and economic burden on health care systems. Administrative diagnostic codes for ascertaining VHD diagnosis are ...
Aged Adult Male Echocardiography Middle Aged Delivery of Health Care, Integrated Severity of Illness Index Humans Natural Language Processing Algorithms Heart Valve Diseases Female California
View on PubMed DOI

Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.

Journal of affective disorders Sep 26, 2024
BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College student, especially freshmen, are particularly susceptible to experiencing intense mental stress reactions during a pandemic. We aimed to identify stable...
China Depression Adolescent Universities Mental Health Male Students Anxiety Severity of Illness Index Female Humans SARS-CoV-2 Machine Learning Young Adult Pandemics Adult COVID-19
View on PubMed DOI

Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis.

European journal of nuclear medicine and molecular imaging Sep 23, 2024
PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patients with severe aortic stenosis (AS), yet it often remains undetected. This study aims to comprehensively evaluate artificial intelligence-based model...
Male Severity of Illness Index Aortic Valve Stenosis Multimodal Imaging Cardiomyopathies Amyloid Neuropathies, Familial Artificial Intelligence Prospective Studies Female Aged Aged, 80 and over Humans
View on PubMed DOI

Identification of four novel acute-on-chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods.

Alimentary pharmacology & therapeutics Sep 23, 2024
BACKGROUND AND AIMS: Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.
Latent Class Analysis Cluster Analysis Acute-On-Chronic Liver Failure Humans Female Machine Learning Adult Algorithms Male Prognosis Middle Aged Severity of Illness Index
View on PubMed DOI

Hallux valgus and pes planus: Correlation analysis using deep learning-assisted radiographic angle measurements.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons Sep 19, 2024
BACKGROUND: The relationship between hallux valgus (HV) and pes planus remains unresolved. This study aims to determine the correlation between HV and pes planus using a deep learning (DL) model to measure radiographic angle parameters.
Humans Retrospective Studies Female Aged Young Adult Deep Learning Radiography Correlation of Data Adult Flatfoot Male Hallux Valgus Middle Aged Severity of Illness Index
View on PubMed DOI
Popular Topics
Recent Journals