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Cyber-Medicine Service for Medical Diagnosis Based on IoT and Cloud Infrastructure

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

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Abstract

Nowadays, medical misdiagnose propagates widely, due to among other reasons, a serious lack of cloud support software. Many patients have difficulty finding either their condition or the appropriate treatment. This paper presents a cyber-medicine service for medical diagnosis based on IoT and cloud infrastructure. It is elastic, on-demand, and reliable medical service offered for both patients and specialists. For patients, it can diagnose a disease based on symptoms and provide a convenient treatment based on a patient’s conditions. The analysis of patients’ conditions is started by optionally taking medical measurements of heart rate using sensors. After then, the service starts to interact with the patients to get the symptoms and search for a diagnosis. For prentice doctors, many features are provided as an on-demand disease description, scientific paper search, and symptoms displaying. Finally, to get an unrecognized combination of symptoms, web crawling and multiple classifiers are used.

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References

  1. Riyadh, M., Tandjaoui, D., Romdhani, I.: Architecting the Internet of Things: state of the art. In: Robots and Sensor Clouds, vol. 36, pp. 55–75. Springer (2015)

    Google Scholar 

  2. Eysenbach, G., Ryoung, E., Diepgen, T.L.: Shopping around the internet today and tomorrow: towards the millennium of cybermedicine. Br. Med. J. (BMJ) 319, 1294 (1999)

    Article  Google Scholar 

  3. Arvanitis, T.N., Eysenbach, G., Woodall, J.: Towards the millennium of cybermedicine. In: The 4th World Congress on the Internet in Medicine (MEDNET 1999), Heidelberg, Germany (1999)

    Google Scholar 

  4. Kreps, G.L., Neuhauser, L.: New directions in eHealth communication: opportunities and challenges. Patient Educ. Couns. 78(3), 329–336 (2010)

    Article  Google Scholar 

  5. Kumar, P., Lokesh, S., Varatharajan, R., Gokulnath, C., Parthasarathy, P.: Cloud and IoT based disease prediction and diagnosis system for health care using fuzzy neural classifier. Future Gener. Comput. Syst. 86, 527–534 (2018)

    Article  Google Scholar 

  6. Hu, Y., Bai, G.: A systematic literature review of cloud computing in eHealth. Health Inform. Int. J. (HIIJ) 3, 11–20 (2014)

    Article  Google Scholar 

  7. Indrajit, I., Nangpal, S.: “Cybermedicine and cyberhealthcare” review of medicine on the internet. Med. J. Armed Forces India 57, 215–220 (2001)

    Article  Google Scholar 

  8. Ishaq, I., Hoebeke, J., Moerman, I.: Internet of Things virtual networks: bringing network virtualization to resource-constrained devices. In: IEEE International Conference on Green Computing and Communications (GreenCom), pp. 293–300. IEEE Computer Society, Besançon, Paris (2012)

    Google Scholar 

  9. Islam, S.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.S.: The Internet of Things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

    Article  Google Scholar 

  10. Kumar, P.J., Chaithra, M.A.: A survey on cloud computing based health care for diabetes: analysis and diagnosis. IOSR J. Comput. Eng. (IOSR-JCE) 17(4), 109–117 (2015)

    Google Scholar 

  11. Hu, L., Qiu, M., Song, J., Hossain, M.S., Ghoneim, A.: Software defined healthcare networks. IEEE Wirel. Commun. 22(6), 67–75 (2015)

    Article  Google Scholar 

  12. Li, Y., Guo, L., Guo, Y.: Enabling health monitoring as a service in the cloud. In: IEEE/ACM 7th International Conference on Utility and Cloud Computing, pp. 127–137. IEEE, London (2014)

    Google Scholar 

  13. Page, A., Soyata, T., Sharma, G., Aktas, M., Hassan, M., Mateos, G.: Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: opportunities and challenges. In: IEEE International Conference on Services Computing (SCC 2015), pp. 285–292. IEEE Computer Society, New York (2015)

    Google Scholar 

  14. Oh, H., Rizo, C., Enkin, M., Jadad, A.: What is eHealth (3): a systematic review of published definitions. J. Med. Internet Res. (JMIR) 7(1), 1–11 (2005)

    Google Scholar 

  15. Lake, D., Milito, R., Morrow, M., Vargheese, R.: Internet of Things: architectural framework for eHealth security. J. ICT 3&4, 301–328 (2014)

    Google Scholar 

  16. Tran, N.: WebMD: transforming the U.S. health care industry. Technical report (2000). Accessed January 2019

    Google Scholar 

  17. Vermesan, O., Friess, P.: Digitizing the Industry Internet of Things Connecting the Physical, Digital and Virtual Worlds, vol. 49. River, Denmark (2016)

    Google Scholar 

  18. Kumar, S., Nilsen, W., Pavel, M., Srivastava, M.: Mobile health: revolutionizing healthcare through transdisciplinary research. Computer 46(1), 28–35 (2013)

    Article  Google Scholar 

  19. Chatterjee, P., Armentano, R.L.: Internet of Things for a smart and ubiquitous ehealth system. In: 7th International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, India, pp. 178–183 (2015)

    Google Scholar 

  20. Verma, P., Sood, S.K.: Cloud-centric IoT based disease diagnosis healthcare framework. J. Ambient Intell. Hum. Comput 9(5), 1293–1309 (2017)

    Article  Google Scholar 

  21. Hailey, D., Dales, R., Mensinkai, S.: A review of guidelines for referral of patients to sleep laboratories [technology report no 55]. Technical report, Canadian Coordinating Office for Health Technology Assessment, Ottawa (2005)

    Google Scholar 

  22. Shamim, M., Muhammad, G.: Cloud assisted Industrial Internet of Things (IIoT) enabled framework for health monitoring. Comput. Netw. J. 101(C), 192–202 (2016)

    Google Scholar 

  23. Kirtava, Z., Gegenava, T., Gegenava, M.: mHealth for cardiac patients telemonitoring and integrated care. In: 15th International Conference on e-Health Networking, Applications and Services (HealthCom 2013), Lisbon, Portugal, pp. 21–25. IEEE Explore (2013)

    Google Scholar 

  24. Mohammed, J., Thakral, A., Ocneanu, A.F.: Internet of Things: remote patient monitoring using web services and cloud computing. In: IEEE International Conference on Internet of Things (iThings 2014), Taipei, Taiwan, pp. 256–263. IEEE (2014)

    Google Scholar 

  25. Uribe, S., Marino, R.J.: Internet and information technology use by dental students in Chile. Eur. J. Dent. Educ. 10(3), 162–168 (2006)

    Article  Google Scholar 

  26. Lin, W., Dou, W., Zhou, Z., Liuc, C.: A cloud-based framework for home-diagnosis service over big medical data. J. Syst. Softw. 102, 192–206 (2014)

    Article  Google Scholar 

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Correspondence to Safia Abbas .

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Abbas, S. (2020). Cyber-Medicine Service for Medical Diagnosis Based on IoT and Cloud Infrastructure. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_58

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