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Learning endometriosis phenotypes from patient-generated data

24 Jun 2020

Abstract excerpt

Endometriosis is a systemic and chronic condition in women of childbearing age, yet a highly enigmatic disease with unresolved questions: there are no known biomarkers, nor established clinical stages. We here investigate the use of patient-generated health data and data-driven phenotyping to characterize endometriosis patient subtypes, based on their reported signs and symptoms. We aim at unsupervised learning...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32596513
DOI: 10.1038/s41746-020-0292-9

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