REFERENCES
- World Health Organization , “Global Health Observatory Data,” 2015. [Online]. Available: http://www.who.int/gho/en/
- “Telecommunications and Health,” IETE J. Res. , Vol. 27, no. 3, pp. 96–9, Jul. 2015. doi:10.1080/03772063.1981.11452330
- K. Ravindra , “A computer-based information system for health administration,” IETE J. Res. , Vol. 22, no. 5, pp. 281–6, Jul. 2015.
- D. Shin and Y. Park , “Understanding the Internet of things ecosystem: Multi-level analysis of users, society, and ecology,” Digit. Policy, Regul. Gov. , Vol. 19, no. 1, pp. 77–100, 2017.
- B. Xu , L. Xu , H. Cai , L. Jiang , Y. Luo , and Y. Gu , “The design of an M-health monitoring system based on a cloud computing platform,” Enterprise Inform. Syst. , Vol. 11, no. 1, pp. 17–36, Jun. 2017.
- D. Shin , S. Lee , and Y. Hwang , “How do credibility and utility affect the user experience of health informatic services?” Comput. Hum. Behav. , Vol. 67, pp. 292–302, 2016.
- M. Aminian and H. R. Naji , “A hospital healthcare monitoring system using wireless sensor networks,” J. Heal. Med. Inform. , Vol. 4, no. 2, p. 121, Feb. 2013.
- I. Azimi , A. Anzanpour , A. M. Rahmani , P. Liljeberg , and H. Tenhunen , “Self-aware early warning score system for iot-based personalized healthcare,” in eHealth 360° , Springer, Cham, Dec. 2016, pp. 49–55.
- S. J. Park , M. Subramaniya , S. E. Kim , S. Hong , J. H. Lee , C. M. Jo , and Y. Seo , “Development of the elderly healthcare monitoring system with IoT,” Adv. Hum. Factors Ergon. Healthc. , Vol. 482, pp. 309–15, Jul. 2016.
- R. Miramontes , R. Aquino , A. Flores , G. Rodriguez , R. Anguiano , A. Rios , and A. Edwards , “PlaIMoS: A remote mobile healthcare platform to monitor cardiovascular and respiratory variables,” Sensors , Vol. 17, no. 1, Jan. 2017.
- J. Schorling , “Diabetes sata,” 2015. [Online]. Available: staff.pubhealth.ku.dk/tag/Teaching/share/data/Diabetes.html.
- M. Lichman , “UCI machine learning repository,” 2013. [Online]. Available: http://archieve.ics.uci.edu/ml.
- M. A. Sapon , K. Ismail and S. Zainudin , “Prediction of diabetes by using artificial neural network,” in Proceedings of the 2011 International Conference on Circuits, System and Simulation , Singapore, Vol. 2829, 2011, pp. 299–303.
- Z. Soltani and A. Jafarian , “A new artificial neural networks approach for diagnosing diabetes disease type II,” Int. J. Adv. Comput. Sci. Appl. , Vol. 7, no. 6, Jun. 2016.