ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis. (arXiv:2208.00296v1 [cs.LG])

Studies show that Studies that cardiovascular diseases (CVDs) are malignant
for human health. Thus, it is important to have an efficient way of CVD
prognosis. In response to this, the healthcare industry has adopted machine
learning-based smart solutions to alleviate the manual process of CVD
prognosis. Thus, this work proposes an information fusion technique that
combines key attributes of a person through analysis of variance (ANOVA) and
domain experts' knowledge. It also introduces a new collection of CVD data
samples …

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