FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial
Introduction: Endometriosis is a chronic disease that affects up to 190 million women and those assigned female at birth and remains unresolved mainly in terms of etiology and optimal therapy. It is defined by the presence of endometrium-like tissue outside the uterine cavity and is commonly associa...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
Public Library of Science
2024
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