The invention discloses an in-vitro fertilization-based method and
system for predicting the cumulative live productivity of multiple complete cycles, and the method comprises the steps: obtaining clinical data,
embryo information and
pregnancy follow-up visit data of a patient, and screening and preprocessing a sample in combination with a collection and
discharge standard; feature variables are extracted before treatment,
after treatment and at the early stage of
pregnancy, an optimal set is determined, and
key factors influencing live birth at all stages are accurately captured; after the nonlinear variables are processed by the RCS, a pre-treatment / post-treatment COX regression model and a
Logistic regression model are adaptively constructed, and the prediction precision is improved by fitting data characteristics; and meanwhile, by evaluating the iterative optimization model, the
variable weight is visually displayed by using a
Nomogram graph after the model is qualified. The method can accurately predict the multi-cycle cumulative live productivity, assists a doctor in formulating a personalized scheme, helps a patient to reasonably
plan treatment, reduces the time and economic burden of blind treatment, and has clinical practical value and benefits of the patient.