Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
NCT Number: NCT05501028
The study has two arms, where the same natural language processing (NLP) and probabilistic graphical modeling technology will be utilized on patients' report of symptoms in both arms. The clinical arm is focused on patients presenting for consultation with a gastroenterologist. The endoscopy arm is focused generally on patients presenting for a diagnostic endoscopy, with the goal of capturing Functional Gastrointestinal Disorder (FGID) patients prior to diagnosis.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Boston, Massachusetts, 02114, United States
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 08/09/2018-08/09/2023
Latent themes present in patient descriptions of FGIDs symptoms as generated by machine learning as well as quantitative comparisons to traditional metrics of patient descriptions including Rome IV criteria and patient descriptions of severity.
Massachusetts General Hospital
Other
Using Natural Language Processing of Novel Biopsychosocial Disease Constructs to Aid in the Evaluation and Diagnosis of Functional Gastrointestinal Disorders
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