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Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees.

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Title: Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees.
Authors: Ranathungage, Thimani Dananjana1 (AUTHOR) ranathtd@myumanitoba.ca, Blumer, Harsha1,2 (AUTHOR) Harsha.Blumer@umanitoba.ca, Muthukumarana, Saman1 (AUTHOR) Saman.Muthukumarana@umanitoba.ca
Source: Discover Analytics. 3/10/2026, Vol. 4 Issue 1, p1-17. 17p.
Database: Business Source Ultimate
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An: 192201623
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  Data: <searchLink fieldCode="JN" term="%22Discover+Analytics%22">Discover Analytics</searchLink>. 3/10/2026, Vol. 4 Issue 1, p1-17. 17p.
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        Value: 10.1007/s44257-026-00057-6
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        Text: English
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      – TitleFull: Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees.
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              Text: 3/10/2026
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