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  • [\'Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, 70126 Bari, Italy.\', \'Apulian Bioengineering SRL, Via delle Violette, 14, 70026 Modugno, Italy.\', \'Institute of Respiratory Disease, Department of Basic Medical Science, Neuroscience, and Sense Organs, University of Bari Aldo Moro, 70124 Bari, Italy.\', \'Clinic of Infectious Diseases, Department of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, 70124 Bari, Italy.\', \'Clinic Pathology Unit, University Hospital of Bari, 70124 Bari, Italy.\', \'Internal Medicine Unit, Ostuni Hospital, 72017 Ostuni, Italy.\', \'Nephrology Unit, Department of Emergency and Organ Transplantation (DETO), University of Bari Aldo Moro, 70124 Bari, Italy.\']
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  • 850310.3390/s21248503
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  • Sensors (Basel, Switzerland)
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  • 34960595
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?:title
  • Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters.
?:type
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  • 2021

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