AIMC Topic: Cause of Death

Clear Filters Showing 71 to 77 of 77 articles

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Adipose Tissue Predictive Value of Tests Coronary Angiography Cause of Death Decision Support Techniques Middle Aged Prospective Studies Risk Assessment Prognosis Humans Time Factors Female Machine Learning Multidetector Computed Tomography Risk Factors Aged Vascular Calcification Male Computed Tomography Angiography Pericardium Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Myocardial Infarction Sex Factors
View on PubMed DOI

Neural Networks for Cause of Hospitalization and Final Cause of Death Extraction from Discharge Summaries.

Studies in health technology and informatics Jun 16, 2020
Determining the cause of death of hospitalized patients with cardiovascular disease is of the utmost importance. This is usually recorded in free text form. In this study we aimed to develop a series of supervised natural language processing algorith...
Humans Cause of Death Patient Discharge Neural Networks, Computer Hospitalization Natural Language Processing
View on PubMed DOI

Multidimensional Sleep and Mortality in Older Adults: A Machine-Learning Comparison With Other Risk Factors.

The journals of gerontology. Series A, Biological sciences and medical sciences Nov 13, 2019
BACKGROUND: Sleep characteristics related to duration, timing, continuity, and sleepiness are associated with mortality in older adults, but rarely considered in health recommendations. We applied machine learning to: (i) establish the predictive abi...
Machine Learning Female Risk Factors Aged Humans Self Report Survival Analysis Sleep Aged, 80 and over Male Cardiovascular Diseases Cause of Death
View on PubMed DOI

A New Approach to Compare the Performance of Two Classification Methods of Causes of Death for Timely Surveillance in France.

Studies in health technology and informatics Aug 21, 2019
Timely mortality surveillance in France is based on the monitoring of electronic death certificates to provide information to health authorities. This study aims to analyze the performance of a rule-based and a supervised machine learning method to c...
France Death Certificates Humans Health Resources Cause of Death Supervised Machine Learning
View on PubMed DOI

Cardiorenal Outcomes in the CANVAS, DECLARE-TIMI 58, and EMPA-REG OUTCOME Trials: A Systematic Review.

Reviews in cardiovascular medicine Jun 30, 2018
In this systematic review, we sought to summarize the 3 recent sodium-glucose cotransporter 2 inhibitor (SGLT2i) trials (Dapagliflozin Effect on CardiovasculAR Events (DECLARE-TIMI 58), Canagliflozin Cardiovascular Assessment Study (CANVAS) Program, ...
Sodium-Glucose Transporter 2 Risk Factors Diabetes Mellitus, Type 2 Benzhydryl Compounds Treatment Outcome Cardiovascular Diseases Humans Kidney Diseases Comorbidity Canagliflozin Health Status Research Design Randomized Controlled Trials as Topic Blood Glucose Sodium-Glucose Transporter 2 Inhibitors Biomarkers Cause of Death Glucosides
View on PubMed DOI

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology Nov 1, 2017
IMPORTANCE: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.
Aorta Vascular Calcification Heart Valves Humans Coronary Vessels Phenotype Proof of Concept Study Tomography, X-Ray Computed Intra-Abdominal Fat Cohort Studies Mortality United States Cause of Death Longitudinal Studies Stroke Liver Myocardial Infarction Muscle, Skeletal Male Female Aged Unsupervised Machine Learning Cardiovascular Diseases Adult Adipose Tissue Middle Aged Principal Component Analysis Risk Assessment
View on PubMed DOI

Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing.

JAMA psychiatry Oct 1, 2016
IMPORTANCE: Suicide represents the 10th leading cause of death across age groups in the United States (12.6 cases per 100 000) and remains challenging to predict. While many individuals who die by suicide are seen by physicians before their attempt, ...
Academic Medical Centers Proportional Hazards Models Massachusetts Hospitals, General Natural Language Processing Cause of Death Patient Discharge Accidents Follow-Up Studies Regression Analysis Narration Humans Retrospective Studies Female Middle Aged Aged Aged, 80 and over Risk Assessment Adult Suicide Male Cohort Studies
View on PubMed DOI
Popular Topics
Recent Journals