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dc.contributor.authorNimmagadda, Shastri
dc.contributor.authorDreher, Heinz
dc.date.accessioned2017-01-30T10:29:29Z
dc.date.available2017-01-30T10:29:29Z
dc.date.created2014-05-14T20:00:34Z
dc.date.issued2014
dc.identifier.citationNimmagadda, S. and Dreher, H. 2014. On robust methodologies for managing public health care systems. International Journal of Environmental Research and Public Health. 11 (1): pp. 1106-1140.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3221
dc.identifier.doi10.3390/ijerph110101106
dc.description.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.

dc.publisherMolecular Diversity Preservation International (MDPI)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0
dc.subjectvisualization
dc.subjectdata mining
dc.subjectfood ontologies
dc.subjectdata warehousing
dc.subjectdiabetes
dc.subjectdata - interpretation
dc.titleOn robust methodologies for managing public health care systems
dc.typeJournal Article
dcterms.source.volume11
dcterms.source.number1
dcterms.source.startPage1106
dcterms.source.endPage1140
dcterms.source.issn16604601
dcterms.source.titleInternational Journal of Environmental Research and Public Health
curtin.department
curtin.accessStatusOpen access


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