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An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset.
Dimauro, Giovanni; Griseta, Maria Elena; Camporeale, Mauro Giuseppe; Clemente, Felice; Guarini, Attilio; Maglietta, Rosalia.
Affiliation
  • Dimauro G; Department of Computer Science, University of Bari 'Aldo Moro', Bari, Italy. Electronic address: giovanni.dimauro@uniba.it.
  • Griseta ME; Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Bari, Italy. Electronic address: mariaelena.griseta@stiima.cnr.it.
  • Camporeale MG; Department of Computer Science, University of Bari 'Aldo Moro', Bari, Italy. Electronic address: mauro.camporeale@uniba.it.
  • Clemente F; Haematology Dept. of National Cancer Institute 'Giovanni Paolo II', Bari, Italy. Electronic address: felice.clemente.irccsbari@gmail.com.
  • Guarini A; Haematology Dept. of National Cancer Institute 'Giovanni Paolo II', Bari, Italy. Electronic address: attilioguarini@oncologico.bari.it.
  • Maglietta R; Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Bari, Italy. Electronic address: rosalia.maglietta@cnr.it.
Artif Intell Med ; 136: 102477, 2023 02.
Article in En | MEDLINE | ID: mdl-36710064
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anemia Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anemia Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Country of publication: Netherlands