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OpenTrials
Completed

NCT Number: NCT04347369

A Retrospective Study of Neural Network Model to Dynamically Quantificate the Severity in COVID-19 Disease

The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases. Then, investigators using artificial intelligence (AI) technology deep learning method to find a prediction model that can dynamically quantify COVID-19 disease severity.

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Key information

Conditions

COVID-19 Disease

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Xinqiao Hospital of Chongqing

Chongqing, 400000, China

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients of COVID-19 disease confirmed by virus nucleic acid RT-PCR and CT

Exclusion criteria

  • unconfirmed suspected cases
  • Patients during pregnancy and lactation
  • incomplete clinical data
  • inestigators considered patients ineligible for the trial

Treatment and study plan

other

Other

clinical diagnosis

Primary outcomes

  1. discrimination

    Time frame: up to 3 months

    The performance of our prediction model is evaluated with the receiver operating characteristic (ROC) curves, areas under the curves (AUCs) and concordance index (c-index).

  2. Calibration

    Time frame: up to 3 months

    The calibration curves analysis is used to show error between the predicted clinical phenotype with prediction model and actual clinical phenotype.

  3. Net benefit

    Time frame: up to 3 months

    Decision curve analysis was used to determine whether the models could be considered useful tools for clinical decisionmaking by comparing the net benefits at any threshold.

Sponsors and collaborators

Lead sponsor

Xinqiao Hospital of Chongqing

Other

Registry information

Important dates

Study start
2020
Primary completion
2020
Study completion
2020
First posted
Apr 15, 2020
Registry last updated
Feb 23, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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