AIMC Topic: 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...
Machine Learning Algorithms Forecasting Retrospective Studies Female Humans Cause of Death Exercise Test Exercise Tolerance Cardiorespiratory Fitness Michigan Male Cardiovascular Diseases Middle Aged Risk Assessment Predictive Value of Tests
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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...
Myocardial Infarction Survival Analysis Models, Cardiovascular Sweden Risk Factors Aged Aged, 80 and over Male Middle Aged Algorithms Risk Assessment Prospective Studies Humans Support Vector Machine Prognosis Cause of Death Female Registries Reproducibility of Results
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Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Journal of forensic and legal medicine Jul 4, 2017
OBJECTIVES: Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature ...
Autopsy Humans Documentation Machine Learning Terminology as Topic Natural Language Processing Cause of Death
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Application of artificial neural network in medical geochemistry.

Environmental geochemistry and health Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
Dust Groundwater Environmental Monitoring Data Interpretation, Statistical Cause of Death Environmental Pollutants Humans Life Expectancy Health Status Indicators Neural Networks, Computer Slovakia Female Soil Male
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Aging, frailty and complex networks.

Biogerontology Mar 2, 2017
When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from va...
Young Adult Adult Aging Middle Aged Infant Neural Networks, Computer Computer Simulation Aged Aged, 80 and over Health Status Age Factors Frailty Frail Elderly Cause of Death Severity of Illness Index Adolescent Time Factors Child, Preschool Child Humans Models, Biological Stochastic Processes Information Theory
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Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection.

PloS one Feb 6, 2017
OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plaintext clinical information for supplementary use. Numerous machine learning techniques, such as supervised machine learning approaches or ontology-bas...
Cause of Death Death Autopsy International Classification of Diseases Humans Algorithms Databases, Factual Clinical Decision-Making Models, Theoretical Support Vector Machine
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Registries Percutaneous Coronary Intervention Data Mining Quality Indicators, Health Care Multivariate Analysis Hospital Mortality Logistic Models Algorithms Treatment Outcome Aged, 80 and over Propensity Score Databases, Factual Humans Cause of Death Male Likelihood Functions Female Machine Learning Middle Aged Massachusetts Risk Factors Hospitals Process Assessment, Health Care Aged Time Factors
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Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012.

Public health reports (Washington, D.C. : 1974) Aug 22, 2016
OBJECTIVE: The purpose of this study was to compare the rates of traumatic injury among five racial/ethnic groups in Arizona and to identify which mechanisms and intents of traumatic injury were predominant in each group.
Wounds and Injuries Ethnicity Alcohol Drinking Health Status Disparities Racial Groups Retrospective Studies Residence Characteristics Cause of Death Arizona Humans Intention
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Automatic ICD-10 classification of cancers from free-text death certificates.

International journal of medical informatics Aug 13, 2015
OBJECTIVE: Death certificates provide an invaluable source for 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 na...
International Classification of Diseases Program Evaluation New South Wales Death Certificates Machine Learning Humans Neoplasms Natural Language Processing Cause of Death Registries
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Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BMC medicine Jan 26, 2015
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing me...
Aged Adult Male Middle Aged Prevalence Surveys and Questionnaires Health Surveys Mexico Chronic Disease Natural Language Processing Humans Artificial Intelligence Algorithms Female Cause of Death Data Mining Epidemiologic Methods
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