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NCT04432961

Natural Language Processing (NLP) Analysis of Free Text Notes to Investigate Coronavirus (COVID-19)

Completed Last updated 28 July 2021
What this trial tests

trial in COVID-19 in 200 participants. Completed in 1 July 2021.

Timeline
1 July 2020
Primary endpoint
1 July 2021
1 July 2021

Quick facts

Lead sponsorCambridge University Hospitals NHS Foundation Trust
StatusCompleted
Study typeOBSERVATIONAL
Enrollment200
Start date1 July 2020
Primary completion1 July 2021
Estimated completion1 July 2021
Sites1 location across United Kingdom

Conditions studied

Sponsor

Cambridge University Hospitals NHS Foundation Trust

Who can join

Adults 18 to 100, any sex, with COVID-19. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

A retrospective cohort study investigating clinical notes using Natural Language Processing in combination with structured data from the Electronic Health Record (EHR) to create a database for analytics to identify features associated with outcomes.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for COVID-19

Currently open trials in the same condition.

Other Cambridge University Hospitals NHS Foundation Trust trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04432961.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing