The invention relates to the technical field of
artificial intelligence assisted
medical treatment, and particularly discloses an assisted
reproduction-oriented individualized
ovulation promoting scheme
intelligent decision support system, which comprises a patient multi-dimensional
data integration module, an
ovary-intima dual-
system dynamic model, an individualized scheme optimization engine and a clinical interaction and execution feedback module. According to the method, ovarian response and intimal receptivity are predicted in a
coupling mode, a
Pareto optimal scheme set giving consideration to ovum obtaining targets and intimal
synchronism is generated through a double-target optimization
algorithm, quantitative decision support is provided for clinicians, and model self-adaptive updating is achieved by executing feedback.
Model prediction and optimization suggestions are continuously close to the real reaction law of individual patients and evolution of
group treatment outcome along with data accumulation, and a virtuous circle which is more intelligent is formed, so that the efficiency of an
ovulation promoting cycle and the success rate of
pregnancy are improved.