Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367011902> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4367011902 endingPage "302" @default.
- W4367011902 startingPage "291" @default.
- W4367011902 abstract "Blockchain holds the potential to revolutionize health care. The ledger technology facilitates secure access and storage of electronic health records (EHRs). The proposed blockchain architecture coalesced with artificial intelligence (AI) and data obtained from the Internet of Things (IoT) provides a significant platform that can benefit the medical industry exceptionally. The data in blockchain can be viewed in a folder-file structure by the branched blockchain approach. Moreover, analytics dashboards are built on the prediction results of the AI models and the providers can envision the data interpreted in a comprehensive manner. Multiple attack predictions are computed after analyzing the EHR data stored in the blockchain. Hyperglycemia live prediction is implemented using a time-series model and random forest. Pulmonary infection classification is determined using visual geometry group-16 (VGG), convolutional neural network (CNN) model and heart attack prediction using K-nearest neighbor (KNN) binary classification. An accuracy of 93, 84 and 88 are obtained for the prediction of hyperglycemia, pulmonary and heart attack, respectively." @default.
- W4367011902 created "2023-04-27" @default.
- W4367011902 creator A5009070221 @default.
- W4367011902 creator A5018230880 @default.
- W4367011902 creator A5039935803 @default.
- W4367011902 creator A5090333836 @default.
- W4367011902 date "2023-01-01" @default.
- W4367011902 modified "2023-10-14" @default.
- W4367011902 title "Impregnable Healthcare Ecosystem Using Blockchain and Artificial Intelligence Approaches" @default.
- W4367011902 cites W2795085730 @default.
- W4367011902 cites W2805677640 @default.
- W4367011902 cites W2902973821 @default.
- W4367011902 cites W2980440927 @default.
- W4367011902 cites W2991554660 @default.
- W4367011902 cites W3042163563 @default.
- W4367011902 cites W3046167482 @default.
- W4367011902 cites W3083631507 @default.
- W4367011902 cites W3098549142 @default.
- W4367011902 cites W3126478117 @default.
- W4367011902 cites W3138745367 @default.
- W4367011902 cites W4241441174 @default.
- W4367011902 cites W4250441055 @default.
- W4367011902 doi "https://doi.org/10.1007/978-981-19-5191-6_24" @default.
- W4367011902 hasPublicationYear "2023" @default.
- W4367011902 type Work @default.
- W4367011902 citedByCount "0" @default.
- W4367011902 crossrefType "book-chapter" @default.
- W4367011902 hasAuthorship W4367011902A5009070221 @default.
- W4367011902 hasAuthorship W4367011902A5018230880 @default.
- W4367011902 hasAuthorship W4367011902A5039935803 @default.
- W4367011902 hasAuthorship W4367011902A5090333836 @default.
- W4367011902 hasConcept C108583219 @default.
- W4367011902 hasConcept C110875604 @default.
- W4367011902 hasConcept C119857082 @default.
- W4367011902 hasConcept C124101348 @default.
- W4367011902 hasConcept C136764020 @default.
- W4367011902 hasConcept C154945302 @default.
- W4367011902 hasConcept C160735492 @default.
- W4367011902 hasConcept C162324750 @default.
- W4367011902 hasConcept C169258074 @default.
- W4367011902 hasConcept C2779687700 @default.
- W4367011902 hasConcept C3020144179 @default.
- W4367011902 hasConcept C38652104 @default.
- W4367011902 hasConcept C41008148 @default.
- W4367011902 hasConcept C50522688 @default.
- W4367011902 hasConcept C50644808 @default.
- W4367011902 hasConcept C79158427 @default.
- W4367011902 hasConcept C81363708 @default.
- W4367011902 hasConceptScore W4367011902C108583219 @default.
- W4367011902 hasConceptScore W4367011902C110875604 @default.
- W4367011902 hasConceptScore W4367011902C119857082 @default.
- W4367011902 hasConceptScore W4367011902C124101348 @default.
- W4367011902 hasConceptScore W4367011902C136764020 @default.
- W4367011902 hasConceptScore W4367011902C154945302 @default.
- W4367011902 hasConceptScore W4367011902C160735492 @default.
- W4367011902 hasConceptScore W4367011902C162324750 @default.
- W4367011902 hasConceptScore W4367011902C169258074 @default.
- W4367011902 hasConceptScore W4367011902C2779687700 @default.
- W4367011902 hasConceptScore W4367011902C3020144179 @default.
- W4367011902 hasConceptScore W4367011902C38652104 @default.
- W4367011902 hasConceptScore W4367011902C41008148 @default.
- W4367011902 hasConceptScore W4367011902C50522688 @default.
- W4367011902 hasConceptScore W4367011902C50644808 @default.
- W4367011902 hasConceptScore W4367011902C79158427 @default.
- W4367011902 hasConceptScore W4367011902C81363708 @default.
- W4367011902 hasLocation W43670119021 @default.
- W4367011902 hasOpenAccess W4367011902 @default.
- W4367011902 hasPrimaryLocation W43670119021 @default.
- W4367011902 hasRelatedWork W2337926734 @default.
- W4367011902 hasRelatedWork W2968586400 @default.
- W4367011902 hasRelatedWork W3211546796 @default.
- W4367011902 hasRelatedWork W4223564025 @default.
- W4367011902 hasRelatedWork W4226246648 @default.
- W4367011902 hasRelatedWork W4281616679 @default.
- W4367011902 hasRelatedWork W4311257506 @default.
- W4367011902 hasRelatedWork W4320802194 @default.
- W4367011902 hasRelatedWork W4322727400 @default.
- W4367011902 hasRelatedWork W4366224123 @default.
- W4367011902 isParatext "false" @default.
- W4367011902 isRetracted "false" @default.
- W4367011902 workType "book-chapter" @default.