Int. J. Environ. Res. Public Health 2014, 11(1), 1106-1140; doi:10.3390/ijerph110101106
Article

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
Download PDF Full-Text [1286 KB, uploaded 17 January 2014 15:26 CET]
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 Statistics

Load and display the download statistics.

Citations to this Article

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.

AMA Style

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.

Chicago/Turabian Style

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.

Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
{"cc_re__cc_re__cc_by_3_0": ["r\" content=\"Shastri Nimmagadda\">\n            <meta name=\"dc.creator\" content=\"Heinz Dreher\">\n        \n    <meta name=\"dc.type\" content=\"Article\">\n    <meta name=\"dc.source\" content=\"International Journal of Environmental Research and Public Health 2014, Vol. 11, Pages 1106-1140\">\n    <meta name=\"dc.date\" content=\"2014-01-17\">\n            <meta name =\"dc.identifier\" content=\"10.3390/ijerph110101106\">\n    \n    <meta name=\"dc.publisher\" content=\"Multidisciplinary Digital Publishing Institute\">\n    <meta name=\"dc.rights\" content=\"http://creativecommons.org/licenses/by/3.0/\">\n    <meta name=\"dc.format\" content=\"application/pdf\" >\n    <meta name=\"dc.language\" content=\"en\" >\n\t<meta name=\"dc.description\" content=\"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 unders"], "copyright__copyright__copyright": ["adda 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.\n\nChicago/Turabian Style\n\nNimmagadda, 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.\n\nInt. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert"]}