Title | ||
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Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 Pandemic |
Abstract | ||
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The CoViD-19 pandemic generated huge quantities of healthcare and clinical data. Artificial intelligence (AI) may help in processing such data, to support patient care, and to plan healthcare actions for pandemic control. This paper aims at analyzing the state of the art of AI and Clinical Information Systems to support the management of CoViD-19 patients. The analysis is performed according to a ... |
Year | DOI | Venue |
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2021 | 10.1109/ICHI52183.2021.00083 | 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI) |
Keywords | DocType | ISBN |
COVID-19,Decision support systems,Data privacy,Pandemics,Taxonomy,Medical services,Machine learning | Conference | 978-1-6654-0132-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carlo COMBI | 1 | 993 | 89.90 |
Giuseppe Pozzi | 2 | 115 | 9.02 |