Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D.

Background & Aims: Considering that no standard therapy has yet been found for the novel coronavirus disease (COVID-19), identifying severe cases as early as possible, and such that treatment procedures can be escalated seems necessary. Hence, the present study aimed to develop a machine learning (ML) approach for automated severity assessment of COVID-19 based on clinical and paraclinical characteristics like serum levels of zinc, calcium, and vitamin D.

Methods: In this analytical cross-sectional study which was conducted from May 2020 to May 2021, clinical and paraclinical data sets of COVID-19-positive patients with known outcomes were investigated by combining statistical comparison and correlation methods with ML algorithms, including Decision Tree (DT), Random Forest (RF), and Support Vector Machine (SVM).

Follow-up the severity of abnormalities diagnosed in chest CT imaging of COVID-19 patients: A cross-sectional study.

Background And Aims: This study aimed to evaluate the severity of diagnosed lung abnormalities of coronavirus disease 2019 (COVID-19) patients based on the pre-and postrecovery follow-up chest computed tomography (CT) scan findings done at regular intervals.

Methods: This cross-sectional study was performed in three phases. The severity of lung abnormalities was recorded and compared based on the initial and follow-up chest CT findings carried out pre-and at regular intervals (3 and 6 months) of postrecovery of COVID-19 patients.

Serum vitamin D, calcium, and zinc levels in patients with COVID-19.

Background And Aim: COVID-19 is a global public health concern. As no standard treatment has been found for it yet, several minerals and vitamins with antioxidants, immunomodulators, and antimicrobials roles can be sufficient for the immune response against the disease. The present study evaluates the serum vitamin D, calcium, and Zinc levels in patients with COVID-19.