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010 _a2021941374
020 _a9783110708127
024 7 _a10.1515/9783110708127
_2doi
035 _a(DE-B1597)551688
035 _a(OCoLC)1280944391
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
072 7 _aCOM079000
_2bisacsh
084 _aST 640
_2rvk
_0(DE-625)rvk/143686:
245 0 0 _aDeep Learning for Personalized Healthcare Services /
_ced. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2021]
264 4 _c©2021
300 _a1 online resource (XVIII, 250 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aIntelligent Biomedical Data Analysis ,
_x2629-7140 ;
_v7
505 0 0 _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
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _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.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
650 4 _aAlgorithmus.
_963838
650 4 _aDeep Learning.
_970706
650 4 _aDigital Health.
_975638
650 4 _aMaschinelles Lernen.
_975264
650 7 _aCOMPUTERS / Social Aspects / General.
_2bisacsh
_976345
700 1 _aArthur, Rangel,
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700 1 _aChander, Bhanu,
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700 1 _aChatterjee, Jyotir Moy,
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700 1 _aChatterjee, Jyotir Moy,
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700 1 _aChaturvedi, Devendra Kr.,
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700 1 _aDeperlioglu, Omer,
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700 1 _aFrança, Reinaldo Padilha,
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700 1 _aGarg, Priyanshi,
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700 1 _aGupta, Mayank,
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700 1 _aHedayati, Hadi,
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700 1 _aIano, Yuzo,
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700 1 _aJain, Mohit,
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700 1 _aJain, Vishal,
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700 1 _aJaneera, D. A.,
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700 1 _aJaya, S.,
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700 1 _aJose, P. Subha Hency,
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700 1 _aKamala, S. Shalini Packiam,
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700 1 _aKohli, Vrinda,
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700 1 _aKrit, Salahddine,
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700 1 _aKumar, Avinash,
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700 1 _aLatha, M.,
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700 1 _aMonteiro, Ana Carolina Borges,
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700 1 _aNarasimhan, V. Lakshmi,
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700 1 _aRastogi, Rohit,
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700 1 _aTandon, Neeti,
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700 1 _aTsagkaris, Christos,
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700 1 _aWesley, G. Jims John,
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700 1 _aYunushkhan, T. M.,
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