Analysis of influencing factors of assisted reproduction and assisted pregnancy outcome of infertile male based on Logistic Regression and Decision Tree Model

Abstract

Abstract Objective: To study the influencing factors of assisted pregnancy outcome in infertile men receiving assisted reproduction. Design: From January 2023 to June 2023, a total of 1037 infertile men who planned to undergo IVF/ICSI-ET assisted pregnancy in the Department of Assisted Reproductive Medicine of the First Maternal and Infant Health Hospital Affiliated to Tongji University were selected as the research objects. Logistic regression and classification decision tree model were used to study the influencing factors of infertile men. Receiver operating characteristic (ROC) curves were used to evaluate the effects of the two prediction models. Subjects: Infertile men undergoing assisted reproduction Main Outcome Measures: Assisted pregnancy outcome of infertile men and construction of prediction model based on Logistic and decision tree Results: The two models showed that the percentage of grade A sperm, the percentage of grade B sperm, the sperm DFI, whether smoking or drinking alcohol were the influencing factors of assisted pregnancy outcome of infertile men. Logistic regression model showed that age, education level, daily exercise time, spermatozoa survival rate, anxiety, depression and insomnia were the factors affecting the outcome of assisted pregnancy in infertile men. Among them, the percentage of grade A sperm is the main influencing factor of infertile men. Compared with the two models, the sensitivity and specificity of Logistic regression model were 91.3% and 88.4% respectively. The sensitivity and specificity of decision tree model are 80.6% and 64.2% respectively. Conclusion: Both Logistic regression and decision tree model have certain classification and prediction value, among which Logistic regression model has better prediction ability than decision tree model. Clinical medical staff can make predictive plans according to the prediction results, improve sperm quality as soon as possible, relieve negative emotions, and improve the outcome of assisted pregnancy with assisted reproductive technology.