This study aims to develop a machine learning-based prediction model for patients with vulvar cancer. This model will utilize patient characteristics and disease features to determine the disease's prognosis. The scoring system will also include management information to facilitate prediction of clinical outcomes of different management strategies and potential management that would yield the best prognosis.
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Inclusion Criteria: * Women diagnosed with Vulvar cancer and treated at collaborating centers between January 1st, 2008, and December 31st, 2017 * women aged 18 years old or older, complete follow-up on for at least 3 years, unless censored by mortality. Exclusion Criteria: * Women will be excluded from the study if there were lost to follow-up before 3 years post-treatment * If the patient did not receive their treatment in the receptive centers * If the patient were diagnosed with synchronous cancers