AIMC Topic: Cause of Death

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CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

European heart journal. Cardiovascular Imaging May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Retrospective Studies Female Aged Male Middle Aged Humans Prognosis Coronary Artery Disease Proportional Hazards Models Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Cause of Death
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Few-Shot Learning of Medical Coding Systems: A Case Study on Death Certificates with BERT and Mistral.

Studies in health technology and informatics May 15, 2025
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and planning. The World Health Organization recommends using the ICD-10 system to standardize death certificate coding, a task often supported by semi-aut...
Clinical Coding Death Certificates Humans Natural Language Processing Cause of Death International Classification of Diseases
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Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES.

BMC gastroenterology May 15, 2025
BACKGROUND: The mortality burden of metabolic dysfunction-associated fatty liver disease (MAFLD) is rising, making it crucial to predict mortality and identify the factors influencing it. While advanced machine learning algorithms are gaining recogni...
Nutrition Surveys Longitudinal Studies Cause of Death Non-alcoholic Fatty Liver Disease Kaplan-Meier Estimate Aged Adult Humans Male Machine Learning Middle Aged Female Fatty Liver Risk Factors
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Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning.

Cardiovascular diabetology May 9, 2025
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognosti...
Blood Glucose Time Factors Hyperglycemia Diabetes Mellitus Humans Predictive Value of Tests Prognosis Machine Learning Aged Retrospective Studies Cause of Death Databases, Factual Male Critical Illness Atherosclerosis Biomarkers Middle Aged Female Stress, Physiological Risk Factors Risk Assessment Prediabetic State
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New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.

La Clinica terapeutica Jan 1, 2024
BACKGROUND: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new li...
Humans Machine Learning Female Pilot Projects Organ Size Cause of Death Autopsy Forensic Pathology Aged Adult Male Middle Aged
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[Short-term effects of PM10 on cause-specific mortality and the role of long-term environmental pressures in the industrial areas of Brindisi and Civitavecchia].

Epidemiologia e prevenzione Jan 1, 2023
OBJECTIVES: the health status of people living near industrial plants is often exposed to several environmental risk factors, including air pollution. The aim of this study is to assess the relationship between daily PM10 levels and cause-specific mo...
Cause of Death Humans Italy Air Pollutants Environmental Pollution Air Pollution Environmental Pollutants Particulate Matter Environmental Exposure
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Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning.

Cardiovascular research Jan 29, 2022
AIMS: Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine lea...
Arterioles Venules Vasodilation Heart Disease Risk Factors Photic Stimulation Retinal Vessels Renal Dialysis Treatment Outcome Cluster Analysis Predictive Value of Tests Kidney Failure, Chronic Cause of Death Signal Processing, Computer-Assisted Workflow Light Aged Male Cardiovascular Diseases Middle Aged Risk Assessment Humans Machine Learning Female
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Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach.

Age and ageing Sep 11, 2021
BACKGROUND: Populational ageing has been increasing in a remarkable rate in developing countries. In this scenario, preventive strategies could help to decrease the burden of higher demands for healthcare services. Machine learning algorithms have be...
Humans Cause of Death Machine Learning Algorithms Aged Cardiovascular Diseases Brazil
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Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's l...
Area Under Curve Cause of Death Republic of Korea Medical Records Systems, Computerized ROC Curve Observation Decision Support Systems, Clinical United States Models, Statistical Humans Machine Learning Databases, Factual Prognosis
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Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

Transplantation May 1, 2021
BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option for malignant hematological disorders. Transplant clinicians estimate patient-specific prognosis empirically in clinical practice based on previous st...
Time Factors Predictive Value of Tests Cause of Death Internet Progression-Free Survival Hematopoietic Stem Cell Transplantation Humans Transplantation, Homologous Machine Learning Recurrence Decision Support Techniques Computer Graphics Retrospective Studies Male Female Middle Aged Risk Factors Risk Assessment Aged Disease Progression Young Adult Adolescent Adult
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