Felipe Kenji Nakano

Discrete time survival analysis machine learning models for IVF prognosis across multiple cycles

Abstract STUDY QUESTION Can discrete time survival analysis machine learning (ML) methods provide reliable and accurate predictions of cumulative live birth rate (CLBR) for patients both at diagnosis (pre-treatment) and after the first cycle of treatment (post-treatment)? SUMMARY...