Review on Medical Expert System in Cloud Environment

Authors

  • Nindiya Mahajan  Department of Computer Science and Engineering, SSCET Bhadani, Pathankot, Punjab, India
  • Gurjeet Kaur  Department of Computer Science and Engineering, SSCET Bhadani, Pathankot, Punjab, India

Keywords:

Medical, Cloud, Machine Learning, Prediction.

Abstract

Diabetes is a leading health issue not only in industrial but advancing Countries as well and its incidence is inclining. It is a condition in which the body inadequate to generate or suitably use the hormone called insulin that ‘‘unlocks” the cells of the body and permits glucose to enter and fuel them. There are various factors which required to be investigated to diagnose the diabetic patient, and this makes the physician’s job difficult. So we will carry out a profitable technique for categorization of patients for diabetes with the use of soft computing method.

References

  1. Brito, L Vale (2010) “A Sensor Middleware for Integration of Heterogeneous Medical Devices”,pp. 5189-5192.
  2. Bor-Rong Chen, Shyamal Patel (2011).“A web-Based System for Home Monitoring of Patients with Parkinson’s Disease Using Wearable Sen?svv vfmors”, 831-836.
  3. Mehta*, MatiasZanartu (2012) “Mobile Voice Health Monitoring Using a wearable Accelerometer Sensor and a Smartphone Platform”, pp. 3090-3096.
  4. Andreas K. Triantafyllidis, Student Member (2013). “A Pervasive Health System Integrating Patient Monitoring, Status Logging, and Social Sharing”, 30-37.
  5. Duana Bender, Kamran Sartipi (2013). “HL7 FHIR: An Agile and Restful Approach to Healthcare Information Exchange”, 326-331.
  6. Ali khalili, BitaSedaghati (2013) “Semantic Medical Prescriptions – Towards Intelligent and Interoperable Medical Prescriptions”, pp. 347-354.
  7. Min Chen, Dung Ong Mau (2013) “The Virtue of Sharing: Efficient Content Delivery in Wireless Body Area Networks for Ubiquitous Healthcare”, pp. 669-673.
  8. Wang Xing, Tang Xiaoying (2013) “HL7 and the Transmission of Dynamic Signal in HL7 Standard”, pp. 124-127.
  9. Cheng Guo, Qiongqiong Song, Ruhan Zhuang, Bin Feng, ‘RSAE: Ranked Keyword Search over Asymmetric Encrypted cloud data, 2015 IEEE.
  10. Boneh, G. D. Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” Advances in Cryptology-Eurocrypt 2004. Springer Berlin Heidelberg, pp. 506-522, 2004.
  11. Goldreich, and R. Ostrovsky, “Software protection and simulation on oblivious RAMs,” Journal of the ACM (JACM) 43.3, pp. 431-473, 1996.
  12. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” the 2000 IEEE Symp. on Security and Privacy, Berkeley: IEEE Computer Society, pp. 44-55, 2000.
  13. Cheng-Chi Lee, Pei-Shan Chung, and Min-Shiang Hwang, ‘A Survey on Attribute-based Encryption Schemes of Access Control in Cloud Environments’, Vol.15, No.4, PP.231-240, July 2013
  14. Ming Li Member, Shucheng Yu, Member, Yao Zheng, Student Member, Kui Ren, Senior, ‘Scalable and Secure Sharing of Personal Health Records in Cloud Computing using Attribute-based Encryption’ , IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS VOL:24 NO:1 YEAR 2013
  15. Yuhong Liu, Yan (Lindsay) Sun, Jungwoo Ryoo and Syed Rizvi, Athanasios V. Vasilakos, ‘A Survey of Security and Privacy Challenges in Cloud Computing: Solutions and Future Directions’, Journal of Computing Science and Engineering, Vol. 9, No. 3, September 2015, pp. 119-133
  16. David Mitchell, ‘Intrusion Detection from Simple to Cloud’, December 7, 2015

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Published

2016-08-30

Issue

Section

Research Articles

How to Cite

[1]
Nindiya Mahajan, Gurjeet Kaur, " Review on Medical Expert System in Cloud Environment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.717-720, July-August-2016.