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|a Software to evaluate clinical, epidemiological data and chest computed tomography to predict which patients with COVID-19 will develop a severe form of the disease.
|b Machine Learning model to predict the prognosis and severity by computed tomography and clinical-epidemiological correlation in COVID-19 patients.
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|a Medical Condition: Coronavirus infection, unspecified. Shock, unspecified. Septicaemia, unspecified. Adult respiratory distress syndrome. Acute renal failure;B34.2;R57.9;A41.9
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|a Study Type: Observational
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|a Recruitment Status: Recruiting
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Klinische Studie