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Coll. 13/ (IRA 40)$d00004784 959 $aBK 979 $c20000914$lUSA01$h1740 979 $c20000919$lUSA01$h1048 979 $c20000919$lUSA01$h1521 979 $c20001019$lUSA01$h1056 979 $c20001019$lUSA01$h1454 979 $c20001019$lUSA01$h1501 979 $c20001019$lUSA01$h1539 979 $c20001024$lUSA01$h1515 979 $c20001027$lUSA01$h1519 979 $c20001027$lUSA01$h1523 979 $c20001110$lUSA01$h1710 979 $c20001124$lUSA01$h1208 979 $c20020403$lUSA01$h1616 979 $aPATRY$b90$c20040406$lUSA01$h1607 979 $aPATRY$b90$c20060918$lUSA01$h1244 979 $aRSIAV1$b90$c20091125$lUSA01$h1425 996 $aRiparto fallimentare$9970305 997 $aUNISA bas $agiu LEADER 01061nas 2200397- 450 001 996360048003316 005 20230123213018.0 011 $a2638-8081 035 $a(DE-599)ZDB3031232-2 035 $a(OCoLC)1049711681 035 $a(CKB)4100000011354202 035 $a(CONSER)--2018202935 035 $a(EXLCZ)994100000011354202 100 $a20180824a20209999 s-- a 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplied phycology 210 1$aLondon :$cTaylor & Francis,$d2020- 300 $aRefereed/Peer-reviewed 517 1 $aAP 531 0 $aAppl. phycol. 606 $aAlgology$vPeriodicals 606 $aAlgology$2fast$3(OCoLC)fst00804987 608 $aPeriodicals.$2fast 615 0$aAlgology 615 7$aAlgology. 676 $a579.8 712 02$aBritish Phycological Society, 712 02$aTaylor & Francis, 906 $aJOURNAL 912 $a996360048003316 996 $aApplied phycology$92576649 997 $aUNISA LEADER 04303nam 22006615 450 001 9910488697903321 005 20251204111621.0 010 $a3-030-67051-1 024 7 $a10.1007/978-3-030-67051-1 035 $a(CKB)4100000011979228 035 $a(MiAaPQ)EBC6676392 035 $a(Au-PeEL)EBL6676392 035 $a(OCoLC)1259627877 035 $a(PPN)258064188 035 $a(BIP)80797229 035 $a(BIP)78407895 035 $a(DE-He213)978-3-030-67051-1 035 $a(EXLCZ)994100000011979228 100 $a20210702d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Healthcare $eApplications of AI in eHealth /$fedited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (328 pages) 225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8609 311 08$a3-030-67050-3 327 $aIntroduction -- Part ?I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part ?II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion. 330 $aThis book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. 410 0$aEAI/Springer Innovations in Communication and Computing,$x2522-8609 606 $aTelecommunication 606 $aBiomedical engineering 606 $aMedical informatics 606 $aApplication software 606 $aCommunications Engineering, Networks 606 $aBiomedical Engineering and Bioengineering 606 $aHealth Informatics 606 $aComputer and Information Systems Applications 615 0$aTelecommunication. 615 0$aBiomedical engineering. 615 0$aMedical informatics. 615 0$aApplication software. 615 14$aCommunications Engineering, Networks. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aHealth Informatics. 615 24$aComputer and Information Systems Applications. 676 $a610.28563 702 $aBhatia$b Surbhi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910488697903321 996 $aIntelligent Healthcare$92869543 997 $aUNINA