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100   $a20221018d2022      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAI for disease surveillance and pandemic intelligence $eintelligent disease detection in action /$fArash Shaban-Nejad, Martin Michalowski, Simone Bianco, editors
210  1$aCham, Switzerland :$cSpringer Nature Switzerland AG,$d[2022]
210  4$dİ2022
215   $a1 online resource (335 pages)
225 1 $aStudies in computational intelligence ;$vVolume 1013
311 08$aPrint version: Shaban-Nejad, Arash AI for Disease Surveillance and Pandemic Intelligence Cham : Springer International Publishing AG,c2022 9783030930790 
320   $aIncludes bibliographical references.
410  0$aStudies in computational intelligence ;$vVolume 1013.
606   $aArtificial intelligence$xMedical applications
606   $aPublic health surveillance
606   $aArtificial intelligence
615  0$aArtificial intelligence$xMedical applications.
615  0$aPublic health surveillance.
615  0$aArtificial intelligence.
676   $a610.28563
702   $aMichalowski$b Martin
702   $aShaban-Nejad$b Arash
702   $aBianco$b Simone
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910552722303321
996   $aAI for disease surveillance and pandemic intelligence$92952590
997   $aUNINA