Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.
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| Title: | Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature. |
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| Authors: | Scardoni A; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy., Balzarini F; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy., Signorelli C; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy., Cabitza F; Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy., Odone A; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Clinical Epidemiology and HTA, IRCCS San Raffaele Scientific Institute, Milan, Italy. Electronic address: odone.anna@hsr.it. |
| Source: | Journal of infection and public health [J Infect Public Health] 2020 Aug; Vol. 13 (8), pp. 1061-1077. Date of Electronic Publication: 2020 Jun 16. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Elsevier Country of Publication: England NLM ID: 101487384 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-035X (Electronic) Linking ISSN: 18760341 NLM ISO Abbreviation: J Infect Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1876-035X |
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| DOI: | 10.1016/j.jiph.2020.06.006 |
