Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D
Azam Jahangirimehr, Elham Abdolahi Shahvali, Seyed Masoud Rezaeijo, Azam Khalighi, Azam Honarmandpour, Fateme Honarmandpour, Mostafa Labibzadeh, Nasrin Bahmanyari, Sahel Heydarheydari
Topics & Concepts
MedicineCoronavirus disease 2019 (COVID-19)Support vector machineMachine learningDecision treeInternal medicineRandom forestVitamin D and neurologyDiseaseArtificial intelligenceComputer scienceInfectious disease (medical specialty)COVID-19 Clinical Research StudiesVitamin D Research StudiesCOVID-19 diagnosis using AI