Open AccessThis article is
- freely available
On Robust Methodologies for Managing Public Health Care Systems†
School of Information Systems, CBS, Curtin University, Perth, 6102 WA, Australia
† Based on “Nimmagadda, S.L.; Nimmagadda, S.K.; Dreher, H. Multidimensional Data Warehousing and Mining of Diabetes and Food-domain Ontologies for e-Health Management. In Proceedings of IEEE-INDIN-2011, Lisbon, Portugal, 26–29 July 2011.”
* Author to whom correspondence should be addressed.
Received: 6 September 2013; in revised form: 7 January 2014 / Accepted: 8 January 2014 / Published: 17 January 2014
Abstract: Authors focus on ontology-based multidimensional data warehousing and mining methodologies, addressing various issues on organizing, reporting and documenting diabetic cases and their associated ailments, including causalities. Map and other diagnostic data views, depicting similarity and comparison of attributes, extracted from warehouses, are used for understanding the ailments, based on gender, age, geography, food-habits and other hereditary event attributes. In addition to rigor on data mining and visualization, an added focus is on values of interpretation of data views, from processed full-bodied diagnosis, subsequent prescription and appropriate medications. The proposed methodology, is a robust back-end application, for web-based patient-doctor consultations and e-Health care management systems through which, billions of dollars spent on medical services, can be saved, in addition to improving quality of life and average life span of a person. Government health departments and agencies, private and government medical practitioners including social welfare organizations are typical users of these systems.
Keywords: diabetes; food ontologies; data warehousing; data mining; visualization; data interpretation
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Nimmagadda, S.L.; Dreher, H.V. On Robust Methodologies for Managing Public Health Care Systems. Int. J. Environ. Res. Public Health 2014, 11, 1106-1140.
Nimmagadda SL, Dreher HV. On Robust Methodologies for Managing Public Health Care Systems. International Journal of Environmental Research and Public Health. 2014; 11(1):1106-1140.
Nimmagadda, Shastri L.; Dreher, Heinz V. 2014. "On Robust Methodologies for Managing Public Health Care Systems." Int. J. Environ. Res. Public Health 11, no. 1: 1106-1140.