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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

The increasing mobility and mobile device creation affect the development of mobile medical application. The wide range of mobile devices and platforms force developers to make adjustment in order to make the healthcare applications run on those devices and platforms. In this study, we develop a healthcare application on popular smartphone platforms: the Android, Windows Phone, and iOS. The goal of this study is to analyze and develop a mobile healthcare application using their native language and features in the platform itself. The phase of the development starts from preparation, development, functional test, and the end user test. Iridology application for the healthcare diagnosis is used on the method. Although the development using Android platform is faster and richer in built-in feature, it is not providing a stable operating system. The Windows Phone platform is simple but offers more stable operating system and has almost as good as Android features. The iOS platform is very stable operating system, simple features, however, but it takes time to learn to build an iOS app.

Keywords :

: native mobile platform; Iridology; healthcare application

References :

  1. http://www.gartner.com/newsroom/id/2645115, access on August 27, 2014
  2. http://www.symantec.com/connect/blogs/top-5-Reasons-companies-need-a mobile-application-management, July 16, 2014
  3. Kim Y, Kim SS, Kang S, Kim K, Kim, “Development of mobile platform integrated with existing electronic medical records.” J.Healthc Inform Res.vol. 20(3), pp. 231 235. Epub July 2014.
  4. http://mobiledevices.about.com/od/mobileappbasics/a/All-About-Developing-Medical-Mobile-Apps.htm
  5. L. Ma, D. Zhang , N. Li, Y. Cai, W. Zuo, K Wang, " Iris-based medical analysis by geometric deformation features." IEEE J Biomed Health Inform., Vol. 17(1),pp. 223-231, Jan 2013.
  6. J.Y. Um, N.H. An, G.B.Yang, G.M Lee, J.J. Cho, J.W. Cho, W.J. Hwang, H.J. Chae, H.R. Kim,S.H. Hong, H.M. Kim, "Novel approach of molecular genetic understanding of iridology: relationship between iris constitution and angiotensin converting enzyme gene polymorphism.", Am J Chin Med, vol.33(3), pp.501-505, 2005.
  7. marketsandmarkets.com, "Portable Medical Devices Market; By Equipment (Cardiac, Respiratory, Hemodynamic, Fitness & Wellness, Independent Ageing, Insulin pumps, Ultrasound), Semiconductor Components (Memory, PMIC, Processor, Display, Sensor, Connectivity) (2013-2018).", Report Code: SE 2071, June 2013.
  8. L. Ma and N. Li, "Texture Feature Extraction and Classification for Iris Diagnosis." D. Zhang (Ed.): ICMB 2008, LNCS 4901, pp.168–175,2007.
  9. M.R. Chandraratne, S. Samarasinghe, D. Kulasiri, R. Bickerstaffe, "Prediction of lamb tenderness using image surface texture features." Journal of Food Engineering, vol. (77)-3, pp. 492–499, 2006.
  10. Lodin, S. Demea, "Medical diagnosis system based on iris analysis." Acta Technica Napocensis - Electronics and Telecommunication, vol.50(4), 2009.
  11. M. Gipp, G. Marcus, N. Harder, A. Suratanee, K. Rohr, R. Konig, and R. Manner, "Accelerating the Computation of Haralick’s Texture Features using Graphics Processing Units (GPUs)." Proceedings of the World Congress on Engineering, 2008.
  12. http://www.udemy.com/blog/ios-vs-android-vs-windows, access on August 27, 2014.

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