Multi Agents in Healthcare System.
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| Title: | Multi Agents in Healthcare System. |
|---|---|
| Authors: | Jukuntla, Amar1, S., Deva Kumar1, Pendam, Keerthi2 |
| Source: | Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 3, p987-992. 6p. |
| Subject Terms: | *Artificial intelligence, Medical care, Patient monitoring, Ad hoc computer networks |
| Abstract: | Healthcare system is one of the most rapidly evolving sectors in government system. This healthcare system is developed for nations for challenging various issues in the population and increasing the demand for it. In this paper we are explaining how multi agents are used and utilized for healthcare system. We took artificial intelligence (AI) for improving the healthcare system performance and we can get efficient solution for health care system for monitoring and controlling patients in pandemic situations. For that sensor node involvement is required to collect data from the dedicated areas and transmitted to desired destinations in the network through mobile sink. In this approach rendezvous nodes act as an agent for communicating and transmitting data from sensor nodes to mobile sink. [ABSTRACT FROM AUTHOR] |
| Copyright of Turkish Online Journal of Qualitative Inquiry is the property of Turkish Online Journal of Qualitative Inquiry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 160413512 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi Agents in Healthcare System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jukuntla%2C+Amar%22">Jukuntla, Amar</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22S%2E%2C+Deva+Kumar%22">S., Deva Kumar</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pendam%2C+Keerthi%22">Pendam, Keerthi</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Turkish+Online+Journal+of+Qualitative+Inquiry%22">Turkish Online Journal of Qualitative Inquiry</searchLink>. 2021, Vol. 12 Issue 3, p987-992. 6p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+monitoring%22">Patient monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Ad+hoc+computer+networks%22">Ad hoc computer networks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Healthcare system is one of the most rapidly evolving sectors in government system. This healthcare system is developed for nations for challenging various issues in the population and increasing the demand for it. In this paper we are explaining how multi agents are used and utilized for healthcare system. We took artificial intelligence (AI) for improving the healthcare system performance and we can get efficient solution for health care system for monitoring and controlling patients in pandemic situations. For that sensor node involvement is required to collect data from the dedicated areas and transmitted to desired destinations in the network through mobile sink. In this approach rendezvous nodes act as an agent for communicating and transmitting data from sensor nodes to mobile sink. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Turkish Online Journal of Qualitative Inquiry is the property of Turkish Online Journal of Qualitative Inquiry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=160413512 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 987 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Medical care Type: general – SubjectFull: Patient monitoring Type: general – SubjectFull: Ad hoc computer networks Type: general Titles: – TitleFull: Multi Agents in Healthcare System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jukuntla, Amar – PersonEntity: Name: NameFull: S., Deva Kumar – PersonEntity: Name: NameFull: Pendam, Keerthi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 13096591 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Turkish Online Journal of Qualitative Inquiry Type: main |
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