Modeling risk of stroke using binary logistic regression and multivariate adaptive regression splines

Lensa Rosdiana Safitri; Nur Chamidah; Toha Saifudin

doi:10.1063/5.0230694

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Modeling risk of stroke using binary logistic regression and multivariate adaptive regression splines

Lensa Rosdiana Safitri Nur Chamidah Toha Saifudin

Year: 2024 Journal: AIP conference proceedings Vol: 3231 Pages: 060008-060008 Publisher: American Institute of Physics

DOI: 10.1063/5.0230694

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Keywords:

Multivariate adaptive regression splines Logistic regression Multivariate statistics Regression Statistics Computer science Artificial intelligence Regression analysis Binary number Bayesian multivariate linear regression Mathematics

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Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Modeling risk of stroke using binary logistic regression and multivariate adaptive regression splines

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