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Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India

Shabbir Syed-Abdul, A. Shoban Babu, Raja Shekhar Bellamkonda, Ramaiah Itumalla, GVRK Acharyulu, Surya Krishnamurthy, Yerravalli Venkat Santosh Ramana, Naresh Mogilicharla, Shwetambara Malwade, Yu‐Chuan Li

2021Journal of Infection13 citationsDOIOpen Access PDF

Topics & Concepts

MucormycosisLogistic regressionMedicineDecision treePublic healthRandom forestEmergency medicineInternal medicineSurgeryMachine learningPathologyComputer scienceAntifungal resistance and susceptibilityLong-Term Effects of COVID-19COVID-19 Clinical Research Studies
Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India | Litcius