CLINICAL_TRIALS
ClinicalTrials.gov record update
Use of Natural Language Processing (NLP) and Machine Learning (ML) for the Identification of Patients With Crohn's Disease (CD) and Complex Perianal Fistulas (CPF) and Their Characterization in Terms of Clinical and Demographic Characteristics. A Multicentre, Retrospective, NLP Based Study
This page presents selected fields from the linked source record. It does not add a medical interpretation.
Record identity and dates
- Source
- ClinicalTrials.gov
- Source record ID
- NCT04844593
- Title field or adapter rule
- protocolSection.identificationModule.officialTitle
- Ingested At
- 2026-04-25T22:26:32.243358+00:00
- Published At
- 2024-05-10T00:00:00+00:00
- Record Updated At
- 2024-05-10
- Timestamp Basis
- source retrieval time was not retained by the feed adapter
- Date limitation
- source retrieval time was not retained by the feed adapter
Fields recorded by this source
- protocolSection.conditionsModule.conditions
["Crohn Disease", "Rectal Fistula"]- protocolSection.statusModule.lastUpdatePostDateStruct.date
"2024-05-10"- protocolSection.identificationModule.nctId
"NCT04844593"- protocolSection.identificationModule.officialTitle
"Use of Natural Language Processing (NLP) and Machine Learning (ML) for the Identification of Patients With Crohn\u0027s Disease (CD) and Complex Perianal Fistulas (CPF) and Their Characterization in Terms of Clinical and Demographic Characteristics. A Multicentre, Retrospective, NLP Based Study"- protocolSection.statusModule.overallStatus
"COMPLETED"- protocolSection.designModule.phases
[]- protocolSection.statusModule.resultsFirstPostDateStruct.date
""
Study condition terms
Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.
This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.