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Dataset Information

Distinct clinical phenotypes for Crohn's disease derived from patient surveys.


ABSTRACT:

Background

Defining clinical phenotypes provides opportunities for new diagnostics and may provide insights into early intervention and disease prevention. There is increasing evidence that patient-derived health data may contain information that complements traditional methods of clinical phenotyping. The utility of these data for defining meaningful phenotypic groups is of great interest because social media and online resources make it possible to query large cohorts of patients with health conditions.

Methods

We evaluated the degree to which patient-reported categorical data is useful for discovering subclinical phenotypes and evaluated its utility for discovering new measures of disease severity, treatment response and genetic architecture. Specifically, we examined the

SUBMITTER: Liu T 

PROVIDER: S-EPMC8034169 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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