An Application of a Generalized Additive Model for an Identification of a Nonlinear Relation between a Course of Menstrual Cycles and a Risk of Endometrioid Cysts

In: Advances in Soft Computing · 2008 · pp. 482–487 · doi:10.1007/978-3-540-68168-7_54 · W1510684546
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This paper applies generalized additive models to identify nonlinear relationships between menstrual cycle characteristics and endometrioid cyst risk, proposing a new etiological aspect for the condition.

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