LEADER 06928nam 22009855 450 001 9910554282103321 005 20211027022714.0 010 $a3-11-070812-4 024 7 $a10.1515/9783110708127 035 $a(CKB)5400000000009149 035 $a(DE-B1597)551688 035 $a(DE-B1597)9783110708127 035 $a(MiAaPQ)EBC7077938 035 $a(Au-PeEL)EBL7077938 035 $a(EXLCZ)995400000000009149 100 $a20211027h20212021 fg 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDeep Learning for Personalized Healthcare Services /$fed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee 210 1$aBerlin ;$aBoston : $cDe Gruyter, $d[2021] 210 4$dİ2021 215 $a1 online resource (XVIII, 250 p.) 225 0 $aIntelligent Biomedical Data Analysis ,$x2629-7140 ;$v7 311 $a3-11-070800-0 327 $tFrontmatter -- $tPreface -- $tAcknowledgments -- $tContents -- $tShort Biography of Editors -- $tList of Contributors -- $tDeep learning for health and medicine -- $tExploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- $tAdvanced deep learning techniques and applications in healthcare services -- $tVisualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- $tEarly cancer predictions using ensembles of machine learning and deep learning -- $tDeep learning in patient management and clinical decision making -- $tPatient health record system -- $tPrediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- $tComparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- $tCoronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- $tAn overview of the technological performance of deep learning in modern medicine -- $tIndex 330 $aThis book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing. 410 0$aIntelligent Biomedical Data Analysis Ser. 606 $aCOMPUTERS / Social Aspects / General$2bisacsh 608 $aElectronic books. 615 7$aCOMPUTERS / Social Aspects / General. 702 $aArthur$b Rangel, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aChander$b Bhanu, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aChatterjee$b Jyotir Moy, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aChatterjee$b Jyotir Moy, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChaturvedi$b Devendra Kr., $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aDeperlioglu$b Omer, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFrança$b Reinaldo Padilha, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGarg$b Priyanshi, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aGupta$b Mayank, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aHedayati$b Hadi, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIano$b Yuzo, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aJain$b Mohit, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 702 $aJain$b Vishal, $4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJaneera$b D. 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