Progress of the application clinical prediction model in polycystic ovary syndrome.

ABSTRACT: Clinical prediction models play an important role in the field of medicine. These can help predict the probability of an individual suffering from disease, complications, and treatment outcomes by applying specific methodologies. Polycystic ovary syndrome (PCOS) is a common disease with a high incidence rate, huge heterogeneity, short- and long-term complications, and complex treatments. In this systematic review study, we reviewed the progress of clinical prediction models in PCOS patients, including diagnosis and prediction models for PCOS complications and treatment outcomes. We aimed to provide ideas for medical researchers and clues for the management of PCOS. In the future, models with poor accuracy can be greatly improved by adding well-known parameters and validations, which will f

SUBMITTER: Guixue G 

PROVIDER: S-EPMC10675861 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature