Machine Learning Based-Personalized Prediction of Sperm Retrieval Success Rate

CompletedOBSERVATIONAL
Enrollment

2,612

Participants

Timeline

Start Date

June 1, 2022

Primary Completion Date

December 31, 2022

Study Completion Date

May 31, 2023

Conditions
Infertility, MaleAzoospermia, Nonobstructive
Interventions
DIAGNOSTIC_TEST

Machine learning-based predictive model

The clinical features of participants were used to train, test and validate the machine learning models. Various evaluation metrics including area under the ROC (AUC), accuracy, etc. were used to evaluate the predictive performance of 8 machine learning models.

Trial Locations (1)

100191

Peking University Third Hospital, Beijing

All Listed Sponsors
lead

Peking University Third Hospital

OTHER