Development and validation of a prediction model for ED using machine learning: according to NHANES 2001-2004.

ABSTRACT: Erectile Dysfunction (ED) is a form of sexual dysfunction in males that imposes significant health and financial burdens globally. Despite its high prevalence, diagnosing ED remains challenging due to the limitations of current diagnostic methods and patients' reluctance to seek medical help. Currently, some studies have used machine learning techniques for developing ED prediction models, but the performance and interpretability of existing models need to be further improved. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) for the years 2001 to 2004, adhering to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement. After excluding male respondents who did not meet the study criter

SUBMITTER: Chen XY 

PROVIDER: S-EPMC11549311 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature