Application of Machine Learning Based Approaches in Emergency Department to Support Clinical Decision Managing SARS-CoV-2 Infected Patients
NCT04825301 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 779
Last updated 2022-02-24
Summary
The aim of the study is to develop a prognostic prediction model based on machine learning algorithms in patients affected by coronavirus disease 2019 (COVID-19), the prediction model will be capable to recognize patient with favorable prognosis or patient with poor prognosis by intelligent systems data analysis.
Conditions
- Covid19
Sponsors & Collaborators
-
University of L'Aquila
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-02-27
- Primary Completion
- 2022-03-30
- Completion
- 2022-04-30
Countries
- Italy
Study Locations
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