The design of regional medical cloud computing information platform based on deep learning

In order to solve the imbalance of medical resources in different regions, a regional medical cloud computing information platform based on reactive algorithm is constructed. First, an application-oriented elastic scaling algorithm based on long short-term memory network and back propagation neural...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:International journal of system assurance engineering and management Ročník 12; číslo 4; s. 757 - 764
Hlavní autor: Zhang, Kaidong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New Delhi Springer India 01.08.2021
Springer Nature B.V
Témata:
Algorithms
Artificial neural networks
Back propagation networks
Cloud computing
Data mining
Deep learning
Engineering
Engineering Economics
Logistics
Machine learning
Marketing
Neural networks
Optimization
Organization
Original Article
Quality Control
Regional development
Regression models
Reliability
Response time
Safety and Risk
Visual programming languages
Cloud computing
Regional medical
Data mining
Reactive algorithm
ISSN:0975-6809, 0976-4348
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract In order to solve the imbalance of medical resources in different regions, a regional medical cloud computing information platform based on reactive algorithm is constructed. First, an application-oriented elastic scaling algorithm based on long short-term memory network and back propagation neural network (BPNN) is proposed. Then, based on cloud computing, a medical cloud data mining platform using Hadoop ecosystem is proposed. Finally, Visual Studio is used to develop regional medical cloud computing information platform, and the performance of the platform is tested. The experimental results show that the improved neural network algorithm has a loss and MAPE (mean absolute percentage error) value of 930 and 0.00031, respectively in the actual workload prediction, which is better than the algorithm before optimization. Moreover, it has the best fitting effect with the actual curve in the prediction of response time. In the strategy scheduling experiment, the loss of the model is 1.40222, the MAPE value is 0.34021, and the convergence time is 23 s, which is better than the test results of the model based on linear regression and BPNN. The experimental results suggest that the regional medical cloud computing information platform can solve the problem of unfair regional medical resources in the medical field to a certain extent.
AbstractList In order to solve the imbalance of medical resources in different regions, a regional medical cloud computing information platform based on reactive algorithm is constructed. First, an application-oriented elastic scaling algorithm based on long short-term memory network and back propagation neural network (BPNN) is proposed. Then, based on cloud computing, a medical cloud data mining platform using Hadoop ecosystem is proposed. Finally, Visual Studio is used to develop regional medical cloud computing information platform, and the performance of the platform is tested. The experimental results show that the improved neural network algorithm has a loss and MAPE (mean absolute percentage error) value of 930 and 0.00031, respectively in the actual workload prediction, which is better than the algorithm before optimization. Moreover, it has the best fitting effect with the actual curve in the prediction of response time. In the strategy scheduling experiment, the loss of the model is 1.40222, the MAPE value is 0.34021, and the convergence time is 23 s, which is better than the test results of the model based on linear regression and BPNN. The experimental results suggest that the regional medical cloud computing information platform can solve the problem of unfair regional medical resources in the medical field to a certain extent.
In order to solve the imbalance of medical resources in different regions, a regional medical cloud computing information platform based on reactive algorithm is constructed. First, an application-oriented elastic scaling algorithm based on long short-term memory network and back propagation neural network (BPNN) is proposed. Then, based on cloud computing, a medical cloud data mining platform using Hadoop ecosystem is proposed. Finally, Visual Studio is used to develop regional medical cloud computing information platform, and the performance of the platform is tested. The experimental results show that the improved neural network algorithm has a loss and MAPE (mean absolute percentage error) value of 930 and 0.00031, respectively in the actual workload prediction, which is better than the algorithm before optimization. Moreover, it has the best fitting effect with the actual curve in the prediction of response time. In the strategy scheduling experiment, the loss of the model is 1.40222, the MAPE value is 0.34021, and the convergence time is 23 s, which is better than the test results of the model based on linear regression and BPNN. The experimental results suggest that the regional medical cloud computing information platform can solve the problem of unfair regional medical resources in the medical field to a certain extent.
Author Zhang, Kaidong
Author_xml – sequence: 1
  givenname: Kaidong
  orcidid: 0000-0002-8294-8537
  surname: Zhang
  fullname: Zhang, Kaidong
  email: kdzhang@bjtu.edu.cn
  organization: School of Computer and Information Technology, Beijing Jiaotong University
BookMark eNp9kE9PwyAYh4mZiXPuC3gi8VwFSgs9msV_iYmXefFCGLzULm2p0B789rLVxMTDTi-Q5yHv73eJFr3vAaFrSm4pIeIu0pxWMiOMZoQSUWT0DC1JJcqM51wujuciKyWpLtA6xj0hhDLKGSdL9LH9BGwhNnWPvcMB6sb3usUd2MakaVo_WWx8N0xj09e46Z0PnR4ThYdWj4cb3ukIFqcXCzDgFnToE3uFzp1uI6x_5wq9Pz5sN8_Z69vTy-b-NTNp7TEzXAsqnBO7XMOOU-kEL4klzEIB1mgJZckN55AzZzSpwGkrXUrmJK8E1_kK3cz_DsF_TRBHtfdTSCGiYgWvKl5yyRIlZ8oEH2MAp0wzHnOMQTetokQdylRzmSqVqY5lKppU9k8dQtPp8H1aymcpJrivIfxtdcL6ATwyigk
CitedBy_id crossref_primary_10_1007_s13198_024_02574_7
crossref_primary_10_1088_1361_6501_ad56b8
Cites_doi 10.1002/ima.22424
10.1007/s10766-017-0524-z
10.1186/s12912-018-0279-x
10.1109/TCC.2017.2769645
10.1016/j.comcom.2020.02.005
10.1007/s10916-020-01579-6
10.1088/1757-899X/750/1/012164
10.1007/s10766-017-0513-2
10.1007/s11042-019-08511-2
10.1111/head.13426
10.1007/s00521-020-04839-1
10.1007/s11831-020-09420-6
10.1007/s00521-020-05107-y
ContentType Journal Article
Copyright The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021
The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021.
Copyright_xml – notice: The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021
– notice: The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021.
DBID AAYXX
CITATION
DOI 10.1007/s13198-021-01075-1
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList

DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 0976-4348
EndPage 764
ExternalDocumentID 10_1007_s13198_021_01075_1
GroupedDBID -EM
06D
0R~
203
29~
2JY
30V
406
40D
96X
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANZL
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAYIU
AAYQN
AAYTO
AAYZH
AAZMS
ABAKF
ABBXA
ABDZT
ABECU
ABFTV
ABHQN
ABJNI
ABJOX
ABKCH
ABMQK
ABQBU
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABWNU
ABXPI
ACAOD
ACGFS
ACHSB
ACIWK
ACKNC
ACMLO
ACOKC
ACPIV
ACZOJ
ADHHG
ADHIR
ADINQ
ADKNI
ADKPE
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEFQL
AEGNC
AEJHL
AEJRE
AEMSY
AEOHA
AEPYU
AESKC
AETCA
AEVLU
AEXYK
AFBBN
AFLOW
AFQWF
AFWTZ
AFZKB
AGAYW
AGDGC
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWZB
AGYKE
AHAVH
AHBYD
AHKAY
AHSBF
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJZVZ
AKLTO
ALFXC
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMXSW
AMYLF
AMYQR
ANMIH
AUKKA
AXYYD
AYJHY
CSCUP
DNIVK
DPUIP
EBLON
EIOEI
ESBYG
FERAY
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FYJPI
GGCAI
GGRSB
GJIRD
GQ6
GQ7
GQ8
HG6
HMJXF
HQYDN
HRMNR
I0C
IKXTQ
IWAJR
IXD
IZIGR
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KOV
LLZTM
NPVJJ
NQJWS
O93
O9J
PT4
R89
RLLFE
ROL
RSV
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
TSG
UG4
UOJIU
UTJUX
UZXMN
VFIZW
W48
Z5O
Z7R
Z7X
Z7Z
Z88
ZMTXR
~A9
AAYXX
ABBRH
ABDBE
ABFSG
ABRTQ
ACSTC
ADKFA
AEZWR
AFDZB
AFHIU
AFOHR
AHPBZ
AHWEU
AIXLP
ATHPR
AYFIA
CITATION
ID FETCH-LOGICAL-c319t-c4a717ff7b3aeb418f7460d02de5edca8e664c44e32fca09efad8f434f84974a3
IEDL.DBID RSV
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000625598500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0975-6809
IngestDate Wed Sep 17 23:58:41 EDT 2025
Sat Nov 29 04:20:35 EST 2025
Tue Nov 18 20:25:02 EST 2025
Fri Feb 21 02:48:17 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords Cloud computing
Regional medical
Data mining
Reactive algorithm
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c319t-c4a717ff7b3aeb418f7460d02de5edca8e664c44e32fca09efad8f434f84974a3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-8294-8537
PQID 2549946482
PQPubID 2043907
PageCount 8
ParticipantIDs proquest_journals_2549946482
crossref_citationtrail_10_1007_s13198_021_01075_1
crossref_primary_10_1007_s13198_021_01075_1
springer_journals_10_1007_s13198_021_01075_1
PublicationCentury 2000
PublicationDate 2021-08-01
PublicationDateYYYYMMDD 2021-08-01
PublicationDate_xml – month: 08
  year: 2021
  text: 2021-08-01
  day: 01
PublicationDecade 2020
PublicationPlace New Delhi
PublicationPlace_xml – name: New Delhi
– name: Dordrecht
PublicationTitle International journal of system assurance engineering and management
PublicationTitleAbbrev Int J Syst Assur Eng Manag
PublicationYear 2021
Publisher Springer India
Springer Nature B.V
Publisher_xml – name: Springer India
– name: Springer Nature B.V
References CR2
Dodick, Tepper, Lipton (CR5) 2018; 58
CR3
Hariss, Noura, Samhat (CR6) 2020; 79
Muhuri, Chatterjee, Yuan (CR12) 2020; 11
Abualigah (CR1) 2020; 32
Sung, Jang, Jeong (CR14) 2020; 153
Hwang, Lin (CR8) 2020; 44
Arulanthu, Perumal (CR4) 2020; 30
Lin, Su, Meng (CR11) 2018; 46
Liang (CR10) 2020; 750
Rathore, Son, Ahmad (CR13) 2018; 46
Homeyer, Hoffmann, Hingst (CR7) 2018; 17
Li, Yang, Dai (CR9) 2020; 8
P Arulanthu (1075_CR4) 2020; 30
K Hariss (1075_CR6) 2020; 79
H Lin (1075_CR11) 2018; 46
N Liang (1075_CR10) 2020; 750
HG Hwang (1075_CR8) 2020; 44
L Abualigah (1075_CR1) 2020; 32
1075_CR3
PS Muhuri (1075_CR12) 2020; 11
Y Sung (1075_CR14) 2020; 153
S Homeyer (1075_CR7) 2018; 17
1075_CR2
H Li (1075_CR9) 2020; 8
MM Rathore (1075_CR13) 2018; 46
DW Dodick (1075_CR5) 2018; 58
References_xml – volume: 30
  start-page: 815
  issue: 3
  year: 2020
  end-page: 827
  ident: CR4
  article-title: An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction
  publication-title: Int J Imaging Syst Technol
  doi: 10.1002/ima.22424
– volume: 46
  start-page: 762
  issue: 4
  year: 2018
  end-page: 775
  ident: CR11
  article-title: Combining Hadoop with MPI to solve metagenomics problems that are both data- and compute-intensive
  publication-title: Int J Parallel Prog
  doi: 10.1007/s10766-017-0524-z
– volume: 17
  start-page: 13
  issue: 1
  year: 2018
  ident: CR7
  article-title: Effects of interprofessional education for medical and nursing students: enablers, barriers and expectations for optimizing future interprofessional collaboration—a qualitative study
  publication-title: Bmc Nurs
  doi: 10.1186/s12912-018-0279-x
– volume: 8
  start-page: 484
  issue: 2
  year: 2020
  end-page: 494
  ident: CR9
  article-title: Achieving secure and efficient dynamic searchable symmetric encryption over medical cloud data
  publication-title: IEEE Transac Cloud Comput
  doi: 10.1109/TCC.2017.2769645
– ident: CR3
– ident: CR2
– volume: 153
  start-page: 342
  year: 2020
  end-page: 348
  ident: CR14
  article-title: Malware classification algorithm using advanced Word2vec-based Bi-LSTM for ground control stations
  publication-title: Comput Commun
  doi: 10.1016/j.comcom.2020.02.005
– volume: 44
  start-page: 1
  issue: 6
  year: 2020
  end-page: 9
  ident: CR8
  article-title: Evaluating people's concern about their health information privacy based on power-responsibility equilibrium model: A case of Taiwan
  publication-title: J Med Syst
  doi: 10.1007/s10916-020-01579-6
– volume: 750
  start-page: 012164
  issue: 1
  year: 2020
  ident: CR10
  article-title: Security transmission and storage of internet of things information based on Blockchain
  publication-title: IOP Conf Ser Mater Sci Eng
  doi: 10.1088/1757-899X/750/1/012164
– volume: 46
  start-page: 630
  issue: 3
  year: 2018
  end-page: 646
  ident: CR13
  article-title: Real-time big data stream processing using GPU with spark over Hadoop ecosystem
  publication-title: Int J Paralllel Prog
  doi: 10.1007/s10766-017-0513-2
– volume: 79
  start-page: 12139
  issue: 17
  year: 2020
  end-page: 12164
  ident: CR6
  article-title: An efficient fully homomorphic symmetric encryption algorithm
  publication-title: Multimed Tools Appl
  doi: 10.1007/s11042-019-08511-2
– volume: 11
  start-page: 243
  issue: 5
  year: 2020
  ident: CR12
  article-title: Using a Long short-term memory recurrent neural network (lstm-rnn) to classify network attacks
  publication-title: Information (Switzerland)
– volume: 58
  start-page: 1358
  issue: 9
  year: 2018
  end-page: 1372
  ident: CR5
  article-title: Improving medical communication in migraine management: a modified Delphi study to develop a digital migraine tracker
  publication-title: Headache J Head Face Pain
  doi: 10.1111/head.13426
– volume: 32
  start-page: 12381
  issue: 2
  year: 2020
  end-page: 12401
  ident: CR1
  article-title: Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications
  publication-title: Neural Comput Appl
  doi: 10.1007/s00521-020-04839-1
– volume: 79
  start-page: 12139
  issue: 17
  year: 2020
  ident: 1075_CR6
  publication-title: Multimed Tools Appl
  doi: 10.1007/s11042-019-08511-2
– volume: 750
  start-page: 012164
  issue: 1
  year: 2020
  ident: 1075_CR10
  publication-title: IOP Conf Ser Mater Sci Eng
  doi: 10.1088/1757-899X/750/1/012164
– volume: 32
  start-page: 12381
  issue: 2
  year: 2020
  ident: 1075_CR1
  publication-title: Neural Comput Appl
  doi: 10.1007/s00521-020-04839-1
– ident: 1075_CR3
  doi: 10.1007/s11831-020-09420-6
– volume: 44
  start-page: 1
  issue: 6
  year: 2020
  ident: 1075_CR8
  publication-title: J Med Syst
  doi: 10.1007/s10916-020-01579-6
– volume: 58
  start-page: 1358
  issue: 9
  year: 2018
  ident: 1075_CR5
  publication-title: Headache J Head Face Pain
  doi: 10.1111/head.13426
– volume: 17
  start-page: 13
  issue: 1
  year: 2018
  ident: 1075_CR7
  publication-title: Bmc Nurs
  doi: 10.1186/s12912-018-0279-x
– volume: 11
  start-page: 243
  issue: 5
  year: 2020
  ident: 1075_CR12
  publication-title: Information (Switzerland)
– volume: 153
  start-page: 342
  year: 2020
  ident: 1075_CR14
  publication-title: Comput Commun
  doi: 10.1016/j.comcom.2020.02.005
– volume: 30
  start-page: 815
  issue: 3
  year: 2020
  ident: 1075_CR4
  publication-title: Int J Imaging Syst Technol
  doi: 10.1002/ima.22424
– volume: 46
  start-page: 762
  issue: 4
  year: 2018
  ident: 1075_CR11
  publication-title: Int J Parallel Prog
  doi: 10.1007/s10766-017-0524-z
– volume: 8
  start-page: 484
  issue: 2
  year: 2020
  ident: 1075_CR9
  publication-title: IEEE Transac Cloud Comput
  doi: 10.1109/TCC.2017.2769645
– ident: 1075_CR2
  doi: 10.1007/s00521-020-05107-y
– volume: 46
  start-page: 630
  issue: 3
  year: 2018
  ident: 1075_CR13
  publication-title: Int J Paralllel Prog
  doi: 10.1007/s10766-017-0513-2
SSID ssj0001214240
Score 2.2062187
Snippet In order to solve the imbalance of medical resources in different regions, a regional medical cloud computing information platform based on reactive algorithm...
SourceID proquest
crossref
springer
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 757
SubjectTerms Algorithms
Artificial neural networks
Back propagation networks
Cloud computing
Data mining
Deep learning
Engineering
Engineering Economics
Logistics
Machine learning
Marketing
Neural networks
Optimization
Organization
Original Article
Quality Control
Regional development
Regression models
Reliability
Response time
Safety and Risk
Visual programming languages
Title The design of regional medical cloud computing information platform based on deep learning
URI https://link.springer.com/article/10.1007/s13198-021-01075-1
https://www.proquest.com/docview/2549946482
Volume 12
WOSCitedRecordID wos000625598500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAVX
  databaseName: SpringerLINK Contemporary 1997-Present
  customDbUrl:
  eissn: 0976-4348
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001214240
  issn: 0975-6809
  databaseCode: RSV
  dateStart: 20100301
  isFulltext: true
  titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22
  providerName: Springer Nature
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LSwMxEA5SPejBt1itkoM3Dex20yR7FLF4kCK-KF6WZJKIUNvSbv39JmnWraKCHnc3CWFmNpNJZr4PoRPNpVIJGEIlJIR6apOcASXeuQJzq2NmArr-Ne_1RL-f38SisGmV7V5dSYaVui52c9YiiE8pcDEE7xAX8yw7dyc8YcPt3ePCyYqv3gqHK7lrxkSSx2qZ74f57JHqbeaXm9HgcLob_5vqJlqPG0x8PreILbRkhttobQF2cAc9OdvAOqRu4JHFnpvB78fx6_zSBsNgNNMYAt-D64AjuKpXIR4PZOmfsHd_Grs32pgxjuQTz7vooXt5f3FFIscCATfHkgCVLqCzlqtMGkVTYTlliU7a2nSMBikMYxQoNVnbgkxyY6UWlmbUCupCEZntocZwNDT7CAsFwmPzmJwbynlHZQAGJDCrFE-VbaK0knMBEYDc82AMiho62cutcHIrgtyKtIlOP_qM5_Abv7ZuVeor4q84LUIETBkV7SY6q9RVf_55tIO_NT9Eq-2gcZ8c2EKNcjIzR2gF3sqX6eQ4mOg7CurgKA
linkProvider Springer Nature
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dS8MwEA8yBfXBb3E6NQ--aaFrsyZ9FHFMnEN0yvAlJJdEhLmNrfPvN8laO0UFfWx7CeHumsvl7n6H0ImiQsoQdEAEhAFxrU3SBEjgjCskdneMtUfXb9NOh_V66W1eFDYpst2LkKTfqctiN6stLHApBdaHoI3A-jyLxFosh5h_d_84d7Piqrf85UpqyRIWpnm1zPfTfLZI5THzS2TUG5zm-v-WuoHW8gMmPp9pxCZa0IMttDoHO7iNnqxuYOVTN_DQYNebwZ3H8essaIOhP5wqDL7fgx2Ac3BVJ0I86ovMPWFn_hS2b5TWI5w3n3jeQQ_Ny-5FK8h7LARg15gFQIR16IyhMhZakjozlCShCiOlG1qBYDpJCBCi48iACFNthGKGxMQwYl0REe-iymA40HsIMwnMYfPolGpCaUPGABoEJEZKWpemiuoFnznkAOSuD0afl9DJjm_c8o17vvF6FZ1-jBnN4Dd-pa4V4uP5rzjh3gMmCWFRFZ0V4io__zzb_t_Ij9Fyq3vT5u2rzvUBWom89F2iYA1VsvFUH6IleMteJuMjr67vlVvjDA
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LSwMxEA5SRfTgW6xWzcGbLt1HmmSPohbFUgo-KF6WZJKIUNul3fr7TdKtraKCeNzdSQgzk51MZuYbhE4UE1KGoAMiIAyIa22SUiCBM65A7d8x0R5dv8Xabd7tpp25Kn6f7T4NSU5qGhxKU7-o58rUZ4VvVnN44NILrD_BGoH1fxaJS6R3_vrd49wti6vk8hctqSWjPEzLypnvp_lsnWZHzi9RUm98muv_X_YGWisPnvh8oimbaEH3t9DqHBzhNnqyOoOVT-nAA4NdzwZ3Tsevk2AOht5grDD4PhB2AC5BV51ocd4ThXvCziwqbN8orXNcNqV43kEPzav7i-ug7L0QgF1jEQAR1tEzhslEaEkibhihoQpjpRtageCaUgKE6CQ2IMJUG6G4IQkxnFgXRSS7qNIf9PUewlwCd5g9OmWaMNaQCYAGAdRIySJpqiia8jyDEpjc9cfoZTNIZce3zPIt83zLoio6_RiTT2A5fqWuTUWZlVt0lHnPmFDC4yo6m4pu9vnn2fb_Rn6MljuXzax10749QCuxF77LH6yhSjEc60O0BG_Fy2h45DX3HTp26_A
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+design+of+regional+medical+cloud+computing+information+platform+based+on+deep+learning&rft.jtitle=International+journal+of+system+assurance+engineering+and+management&rft.au=Zhang+Kaidong&rft.date=2021-08-01&rft.pub=Springer+Nature+B.V&rft.issn=0975-6809&rft.eissn=0976-4348&rft.volume=12&rft.issue=4&rft.spage=757&rft.epage=764&rft_id=info:doi/10.1007%2Fs13198-021-01075-1&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0975-6809&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0975-6809&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0975-6809&client=summon