Commenced in January 2007
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Unified Structured Process for Health Analytics

Authors: Supunmali Ahangama, Danny Chiang Choon Poo


Health analytics (HA) is used in healthcare systems for effective decision making, management and planning of healthcare and related activities. However, user resistances, unique position of medical data content and structure (including heterogeneous and unstructured data) and impromptu HA projects have held up the progress in HA applications. Notably, the accuracy of outcomes depends on the skills and the domain knowledge of the data analyst working on the healthcare data. Success of HA depends on having a sound process model, effective project management and availability of supporting tools. Thus, to overcome these challenges through an effective process model, we propose a HA process model with features from rational unified process (RUP) model and agile methodology.

Keywords: UML, Health Analytics, agile methodology, unified process model

Digital Object Identifier (DOI):

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[1] P. Horner and A. Basu. “Analytics & the future of healthcare,”Analytics Magazine, 2012, pp. 11-18.
[2] W. Raghupathi and V. Raghupathi, "An Overview of Health Analytics," J Health Med Informat, vol. 4, p. 2, 2013.
[3] Ó. Marbán and J. Segovia, "Extending UML for Modeling Data Mining Projects (DM-UML)," Journal of Information Technology & Software Engineering, vol. 3, 2013.
[4] Q. Yang and X. Wu, "10 challenging problems in data mining research," International Journal of Information Technology & Decision Making, vol. 5, pp. 597-604, 2006.
[5] R. Bellazzi and B. Zupan, "Predictive data mining in clinical medicine: current issues and guidelines," International journal of medical informatics, vol. 77, pp. 81-97, 2008.
[6] O. Marbán, J. Segovia, E. Menasalvas, and C. Fernández-Baizán, "Toward data mining engineering: A software engineering approach," Information systems, vol. 34, pp. 87-107, 2009.
[7] P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz, C. Shearer, and R. Wirth, CRISP-DM 1.0 Step-by-step data mining guide, 2000.
[8] J. Zubcoff and J. Trujillo, "Conceptual modeling for classification mining in data warehouses," in Data Warehousing and Knowledge Discovery, ed: Springer, 2006, pp. 566-575.
[9] N. Prat, J. Akoka, and I. Comyn-Wattiau, "A UML-based data warehouse design method," Decision Support Systems, vol. 42, pp. 1449-1473, 2006.
[10] S. Luján-Mora, J. Trujillo, and I.-Y. Song, "A UML profile for multidimensional modeling in data warehouses," Data & Knowledge Engineering, vol. 59, pp. 725-769, 2006.
[11] A. R. Hevner, S. T. March, J. Park, and S. Ram, "Design science in information systems research," MIS Quarterly, vol. 28, pp. 75-105, 2004.
[12] J. Pries-Heje and R. Baskerville, "The design theory nexus," MIS Quarterly, pp. 731-755, 2008.
[13] C. Westphal and T. Blaxton, Data mining solutions: methods and tools for solving real-world problems, 1998.
[14] R. Wirth and J. Hipp, "CRISP-DM: Towards a standard process model for data mining," presented at the Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, 2000.
[15] R. Matignon, Data mining using SAS enterprise miner vol. 638: John Wiley & Sons, 2007.
[16] SAS. SAS Enterprise Miner: SEMMA, 2008 Available: ml
[17] O. Marban, G. Mariscal, and J. Segovia, "A Data Mining & Knowledge Discovery Process Model," Data Mining and Knowledge Discovery in Real Life Applications. IN-TECH, vol. 2009, p. 8, 2009.
[18] G. Mariscal, Ó. Marbán, and C. Fernández, "A survey of data mining and knowledge discovery process models and methodologies," The Knowledge Engineering Review, vol. 25, pp. 137-166, 2010.
[19] I. Jacobson, G. Booch, and J. Rumbaugh, The unified software development process vol. 1: Addison-Wesley Reading, 1999.
[20] P. Britos, O. Dieste, and R. García-Martínez, "Requirements Elicitation in Data Mining for Business Intelligence Projects," in Advances in Information Systems Research, Education and Practice, ed: Springer, 2008, pp. 139-150.
[21] K. J. Cios and W. G. Moore, "Uniqueness of medical data mining," Artificial intelligence in medicine, vol. 26, pp. 1-24, 2002.
[22] M. Kwiatkowska, M. S. Atkins, N. T. Ayas, and C. F. Ryan, "Knowledge-based data analysis: first step toward the creation of clinical prediction rules using a new typicality measure," Information Technology in Biomedicine, IEEE Transactions on, vol. 11, pp. 651-660, 2007.
[23] N. Esfandiary, M. R. Babavalian, A.-M. E. Moghadam, and V. K. Tabar, "Knowledge Discovery in Medicine: Current Issue and Future Trend," Expert Systems with Applications, vol. 41, pp. 4434–4463, 2014.
[24] X.-B. Li and J. Qin, "A Framework for Privacy-Preserving Medical Document Sharing," in Thirty Fourth International Conference on Information Systems, Milan, Italy, 2013.
[25] H. Chen, R. H. Chiang, and V. C. Storey, "Business Intelligence and Analytics: From Big Data to Big Impact," MIS quarterly, vol. 36, 2012.
[26] T. J. Eggebraaten, J. W. Tenner, and J. C. Dubbels, "A health-care data model based on the HL7 reference information model," IBM Systems Journal, vol. 46, pp. 5-18, 2007.
[27] Jibitesh Mishra and A. Mohanty, Software Engineering: Pearson Education India, 2011.
[28] P. Naur and B. Randell, Software Engineering: Report of a conference sponsored by the NATO Science Committee, Garmisch, Germany, 7-11 Oct. 1968, Brussels, Scientific Affairs Division, NATO, 1969.
[29] K. Beck, M. Beedle, A. Van Bennekum, A. Cockburn, W. Cunningham, M. Fowler, J. Grenning, J. Highsmith, A. Hunt, and R. Jeffries, Manifesto for agile software development, 2001, Available:
[30] S. Gregor and A. R. Hevner, "Positioning and presenting design science research for maximum impact," MIS Quarterly, vol. 37, pp. 337-356, 2013.
[31] S. L. Pan and B. Tan, "Demystifying case research: A structured– pragmatic–situational (SPS) approach to conducting case studies," Information and Organization, vol. 21, pp. 161-176, 2011.
[32] S. W. Ambler, "Agile Model Driven Development (AMDD)," in XOOTIC Symposium 2006, 2006, p. 13.
[33] M. Cohn, User stories applied: For agile software development: Addison-Wesley Professional, 2004.
[34] K. Collier, Agile analytics: A value-driven approach to business intelligence and data warehousing: Addison-Wesley, 2011.
[35] J. Zubcoff and J. Trujillo, "A UML 2.0 profile to design Association Rule mining models in the multidimensional conceptual modeling of data warehouses," Data & Knowledge Engineering, vol. 63, pp. 44-62, 2007.
[36] OMG, "Omg Unified Modeling Language (OMG UML) Superstructure specification version 2.4. 1," document formal/2011-08-06. Technical report, OMG, 2011.
[37] M. A. Hamburg and F. S. Collins, "The path to personalized medicine," New England journal of medicine, vol. 363, pp. 301-304, 2010.