An IoMT Model Based Smart Health Advisory System

AUTHORS

K. Asish Vardhan,Department of Computer Science & Engineering, AUCE, Andhra University, Visakhapatnam, India

ABSTRACT

The Internet of Things (IoT) provides Associate in treatment economical and fresh existence to the health care ground. It conjointly includes a speedy development of the many fields. However, many requirements are existing for human health within the field of Medical. One among the advanced move toward doctors can definitely and rapidly correct to employ the pertinent tolerant information’s and jointly with the enduring casing the past. Through the Internet of Things, staggeringly improves the normal of data and therefore, the patient heed within the medicinal ground. So, Web of Things offers Associate in Nursing actual platform to interconnect all the resources. Associate in nursing ontology-based mostly automating style methodology for good drugs and physical health system mistreatment IoT. Semantics and ontology mechanisms aid the computers in addition to the considerate the indication and medicinal possessions. So, ontology mechanism assists in making a healing plan and reconfiguring medicinal possessions consistent with the patient's specific necessities apace and repeatedly.

 

KEYWORDS

IoT, Health data, Ontology, Worldwide ontology, Knowledge base, Patient data, Output prescription

REFERENCES

[1]     D. Yongsheng, J. Yanling, R. Lihong, and H. Kuangrong, “An intelligent self- organization scheme for the Internet of Things,” IEEE Computer Intelligence Magazine, vol.8, no.3, pp.41-53, (2013)
[2]     L. Meghan, “IoT livestock estrus monitoring system based on machine learning,” Asia-pacific Journal of Convergent Research Interchange, vol.4, no.3, pp.119-128, (2018) DOI:10.14257/apjcri.2018.09.12(CrossRef)(Google Scholar)
[3]     Majerol M., Carroll W., and Fingar S., “Smart Medicaid, Deloitte Insights,” accessed 19 March 2020, https://www2.deloitte.com/us/en/insights/industry/health-care/smart-technology-in-health-care-medicaid-programs.html, (2018)
[4]     P. Sandeep Kumar, “IoMT based smart health care monitoring system,” International Journal for Innovative Research in Science & Technology, vol.5, no.11, pp.58-64, (2019)
[5]     Z. Yi Fan, G. Ling, Z. Tian Shu, L. De Nan, Z. Jing, L. Ye, and L. Li Song, “An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management,” Journal of Biomedical Informatics, vol.72, pp.45-49, (2017)
[6]     P. Sandeep Kumar, “NFC based smart healthcare services system,” International Journal for Innovative Research in Science & Technology, vol.5, no.7, pp.45-48, (2018)
[7]     A. Muhammad, H. Zhe, B. Jiang, L. Juan Antonio, and T. Cui, “Assessing the practice of biomedical ontology evaluation: Gaps and opportunities,” Journal of Biomedical Informatics, vol.80, pp.1-13, (2018)
[8]     M. Chiara, “Plate element formulation for a discrete element method,” International Journal of Advanced Science and Technology, vol.94, pp.13-22, (2016)

CITATION

  • APA:
    Vardhan,K.A.(2020). An IoMT Model Based Smart Health Advisory System. International Journal of Digital Contents and Applications for Smart Devices, 7(1), 21-28. 10.21742/IJDCASD.2020.7.1.03
  • Harvard:
    Vardhan,K.A.(2020). "An IoMT Model Based Smart Health Advisory System". International Journal of Digital Contents and Applications for Smart Devices, 7(1), pp.21-28. doi:10.21742/IJDCASD.2020.7.1.03
  • IEEE:
    [1] K.A.Vardhan, "An IoMT Model Based Smart Health Advisory System". International Journal of Digital Contents and Applications for Smart Devices, vol.7, no.1, pp.21-28, Jul. 2020
  • MLA:
    Vardhan K. Asish. "An IoMT Model Based Smart Health Advisory System". International Journal of Digital Contents and Applications for Smart Devices, vol.7, no.1, Jul. 2020, pp.21-28, doi:10.21742/IJDCASD.2020.7.1.03

ISSUE INFO

  • Volume 7, No. 1, 2020
  • ISSN(p):2205-8532
  • ISSN(e):2207-4058
  • Published:Jul. 2020

DOWNLOAD