AIMC Topic: Cause of Death

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Automatically determining cause of death from verbal autopsy narratives.

BMC medical informatics and decision making Jul 9, 2019
BACKGROUND: A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person's death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated VA coding methods primarily u...
Machine Learning Female Infant, Newborn Aged Young Adult Humans Child, Preschool Child Narration Natural Language Processing Cause of Death Diagnostic Techniques and Procedures Adult Male Middle Aged Infant Adolescent
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Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

International journal of medical informatics Jul 6, 2019
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveil...
Classification Disease Epidemiological Monitoring Death Certificates Support Vector Machine Humans Public Health Surveillance Adult Cause of Death Male Supervised Machine Learning France
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Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

ESC heart failure Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Humans Machine Learning Retrospective Studies Female Quality Indicators, Health Care Western Australia ROC Curve Follow-Up Studies Cause of Death Aged Heart Failure Aged, 80 and over Patient Readmission Survival Rate Male Time Factors
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Constipation and risk of death and cardiovascular events.

Atherosclerosis Dec 23, 2018
BACKGROUND AND AIMS: Constipation is one of the most frequent symptoms encountered in daily clinical practice and is implicated in the development of atherosclerosis, potentially through altered gut microbiota. However, little is known about its asso...
Time Factors Humans Coronary Disease Aged Prognosis Constipation Male United States Retrospective Studies Laxatives Cause of Death Female Middle Aged Stroke Risk Factors Risk Assessment Brain Ischemia Incidence
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Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers.

Artificial intelligence in medicine May 10, 2018
OBJECTIVE: Death certificates are an invaluable source of cancer mortality statistics. However, this value can only be realised if accurate, quantitative data can be extracted from certificates-an aim hampered by both the volume and variable quality ...
Reproducibility of Results Neoplasms Support Vector Machine Natural Language Processing Cause of Death Humans Databases, Factual Death Certificates Registries Data Mining Data Accuracy Rare Diseases New South Wales
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Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Diastole Echocardiography, Doppler, Color Echocardiography, Doppler, Pulsed Risk Assessment Disease Progression Cluster Analysis Predictive Value of Tests Cause of Death Heart Ventricles Progression-Free Survival Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Pattern Recognition, Automated Aged Phenotype Aged, 80 and over Retrospective Studies Male Female Humans Ventricular Function, Left Risk Factors Machine Learning Middle Aged Hospitalization
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Predictors of firearm violence in urban communities: A machine-learning approach.

Health & place Mar 14, 2018
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with firearm violence is important to improve confounder selection and control in health research, to bette...
Urban Population Cause of Death Ethnicity Firearms Machine Learning Age Distribution Violence Female Humans Poverty Areas Male Sex Distribution Adolescent United States
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Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.

Heart & lung : the journal of critical care Oct 6, 2017
BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is higher in women compared with men. The purpose of this study is to develop and validate prediction models for all-cause in-hospital mortality in women a...
Humans Machine Learning Prognosis Retrospective Studies Female Aged Risk Assessment Hospital Mortality United States ST Elevation Myocardial Infarction Cause of Death
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Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).

The American journal of cardiology Aug 30, 2017
Previous studies have demonstrated that cardiorespiratory fitness is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined ca...
Exercise Tolerance Cardiorespiratory Fitness Humans Michigan Middle Aged Machine Learning Risk Assessment Algorithms Predictive Value of Tests Cause of Death Exercise Test Forecasting Retrospective Studies Female Male Cardiovascular Diseases
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Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compared four popular machine learn...
Prospective Studies Survival Analysis Risk Factors Humans Risk Assessment Algorithms Models, Cardiovascular Aged Prognosis Support Vector Machine Female Aged, 80 and over Cause of Death Male Reproducibility of Results Registries Middle Aged Sweden Myocardial Infarction
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