The Useof Artificial Neural Network and Logistic Regression to Predict the Influenceof Lifestyle on Cardiovascular Risk Factors by Jahandideh S*, Jahandideh M,
Asefzadeh S and Ziaee A in COJ Nursing & Healthcare
Objective: The first cause of death worldwide is cardiovascular disease
(CVD). CVD covers a wide array of disorders, including diseases of the cardiac
muscle and of the vascular system supplying the heart, brain, and other vital
organs. This research aims to the comprehensive impact that a series of
lifestyle data from a population has on the main cardiovascular risk factors.
Such predictions of the influence of lifestyle on cardiovascular risk factors
could be useful.
Material and methods: A cross-sectional study was designed; the subjects who lived
in Minodar, Iran were interviewed by trained nurses using a structural
questionnaire. Data were processed from a sample of 393 subjects of both sexes
aged 26-79 years old. The output data were: high/low cholesterolemia, HDL-C
cholesterol, triglyceridemia. The input data were: sex, age, build, weight,
marital status, Individual's status in the family, physical activity, hours of
sleep per day, smoking, tobacco type, BMI. Two predictor models including
artificial neural network and linear regression were applied
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