Trials / Unknown
UnknownNCT04828915
Early Detection of Clinical Deterioration in Patients With COVID-19 Using Machine Learning
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,000 (estimated)
- Sponsor
- University Hospital Tuebingen · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- —
Summary
The aim of this study is to use artificial intelligence in the form of machine learning analysing vital signs as well as symptoms of patients suffering from Covid19 to identify predictors of disease progression and severe course of disease.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Machine learning | Machine learning on vital parameters, clinical symptoms and underlying diseases |
| OTHER | Machine based evaluation | Quantification of the prediction power and identification of the most relevant predictive parameters |
Timeline
- Start date
- 2021-02-01
- Primary completion
- 2021-07-31
- Completion
- 2021-12-31
- First posted
- 2021-04-02
- Last updated
- 2021-04-02
Locations
1 site across 1 country: Germany
Source: ClinicalTrials.gov record NCT04828915. Inclusion in this directory is not an endorsement.