2024
DOI: 10.1186/s12911-024-02745-3
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Machine learning predicts pulmonary Long Covid sequelae using clinical data

Ermanno Cordelli,
Paolo Soda,
Sara Citter
et al.

Abstract: Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient’s quality of life making it easier to develop severe complications. Being able to predict this syndrome is therefore important as this enables early treatment. In this work, we investigated three machine learning approaches that use clinical data collected at the time of hospitalization to this goal. The first works wi… Show more

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