AIMC Topic: Cardiovascular Diseases
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Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES.
Environmental health : a global access science source
Sep 26, 2017
BACKGROUND: There is growing concern of health effects of exposure to pollutant mixtures. We initially proposed an Environmental Risk Score (ERS) as a summary measure to examine the risk of exposure to multi-pollutants in epidemiologic research consi...
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...
The use of soft robotics in cardiovascular therapy.
Expert review of cardiovascular therapy
Aug 23, 2017
Robots have been employed in cardiovascular therapy as surgical tools and for automation of hospital systems. Soft robots are a new kind of robot made of soft deformable materials, that are uniquely suited for biomedical applications because they are...
Interaction between SELP genetic polymorphisms with inflammatory cytokine interleukin-6 (IL-6) gene variants on cardiovascular disease in Chinese Han population.
Mammalian genome : official journal of the International Mammalian Genome Society
Aug 18, 2017
The aim of the study is to investigate the impact of SELP and IL-6 genetic single-nucleotide polymorphisms (SNPs) and its gene-gene interaction on cardiovascular disease (CVD) risk based on Chinese population. A total of 1082 subjects (519 males, 563...
Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.
Circulation research
Aug 9, 2017
RATIONALE: Machine learning may be useful to characterize cardiovascular risk, predict outcomes, and identify biomarkers in population studies.
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.
BMC medical informatics and decision making
Aug 8, 2017
BACKGROUND: Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build a corpus of CVD risk factor annotations based on Chinese ...
Modeling time-to-event (survival) data using classification tree analysis.
Journal of evaluation in clinical practice
Jul 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Time to the occurrence of an event is often studied in health research. Survival analysis differs from other designs in that follow-up times for individuals who do not experience the event by the end of the study (cal...
Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks.
European journal of endocrinology
May 3, 2017
BACKGROUND: The independent role of mild autonomous cortisol secretion (ACS) in influencing the cardiovascular event (CVE) occurrence is a topic of interest. We investigated the role of mild ACS in the CVE occurrence in patients with adrenal incident...
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
PloS one
Apr 4, 2017
BACKGROUND: Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiti...
Chronic Kidney Disease Is an Independent Risk Factor for Transfusion, Cardiovascular Complication, and Thirty-Day Readmission in Minimally Invasive Total Knee Arthroplasty.
The Journal of arthroplasty
Dec 14, 2016
BACKGROUND: Little is known about the relationship between chronic kidney disease (CKD) and minimally invasive total knee arthroplasty (MIS-TKA). We hypothesized that CKD was an independent risk factor for postoperative complications and increased bl...
Cardiovascular Diseases
Risk Factors
Blood Transfusion
Humans
Middle Aged
Prospective Studies
Aged
Minimally Invasive Surgical Procedures
Case-Control Studies
Retrospective Studies
Aged, 80 and over
Patient Readmission
Renal Insufficiency, Chronic
Female
Male
Arthroplasty, Replacement, Knee
Osteoarthritis, Knee
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