Building a Model to Predict Anxiety in Men with Premature Ejaculation An Observational Study Using Clinical Data and Machine Learning

What this Trial Is About

Premature ejaculation PE is a common sexual dysfunction that can negatively affect quality of life and mental health, especially when anxiety disorders are also present. Researchers are working to create and test a prediction model to identify PE patients at high risk of developing anxiety disorders. This model aims to help with early treatments and improve patient care through targeted support. In this observational study, male patients diagnosed with PE will be enrolled from several clinical centers. Participants will undergo assessments including questionnaires, clinical interviews, and medical history reviews to gather data on factors that might predict anxiety disorders. Machine learning will analyze this data to build the prediction model. The models performance will then be tested using a separate group of patients to verify its accuracy and stability. Participants will be followed for about one year, with anxiety symptoms assessed within three months after PE diagnosis. Researchers will measure the prediction models accuracy, sensitivity, and specificity in identifying anxiety disorders. The study involves collecting detailed patient information through interviews and questionnaires. This research could lead to better personalized care for those at risk of anxiety related to PE.

Development and Validation of an Anxiety Disorder Prediction Model for Premature Ejaculation Patients