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The result showed that (1) total cholesterol (TC) and other nine factors were selected as principal factors for the stroke prediction; (2) the MLP model outperformed RBF model in terms of accuracy, generalization and inter-rater reliability; (3) ensemble algorithm was superior to single algorithms for high-dimension dataset in this study. It may come to the conclusion that this study improved the stroke prediction methods and contributed much to the prevention of stroke. <\/jats:p>","DOI":"10.1142\/s0219649222500794","type":"journal-article","created":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T15:34:33Z","timestamp":1666625673000},"source":"Crossref","is-referenced-by-count":0,"title":["Influencing Factors Analysis and Prediction Model Development of Stroke: The Machine Learning Approach"],"prefix":"10.1142","volume":"22","author":[{"given":"Juhua","family":"Wu","sequence":"first","affiliation":[{"name":"School of Management, Guangdong University of Technology, Guangzhou, P. 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