An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models.
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| Title: | An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. |
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| Authors: | El-Rashidy, Nora1, Noura.alrashidy@ai.kfs.edu.eg, Sedik, Ahmed2,3, Siam, Ali I.4, Ali, Zainab H.4 |
| Source: | Neural Computing & Applications; May2023, Vol. 35 Issue 14, p10695-10716, 22p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 163294458 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163294458 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-023-08258-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 10695 Titles: – TitleFull: An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: El-Rashidy, Nora – PersonEntity: Name: NameFull: Sedik, Ahmed – PersonEntity: Name: NameFull: Siam, Ali I. – PersonEntity: Name: NameFull: Ali, Zainab H. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 35 – Type: issue Value: 14 Titles: – TitleFull: Neural Computing & Applications Type: main |
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