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On robust methodologies for managing public health care systems.

Nimmagadda SL, Dreher HV - Int J Environ Res Public Health (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: School of Information Systems, CBS, Curtin University, Perth, 6102 WA, Australia. shastri.nimmagadda2011@gmail.com.

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.

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Related in: MedlinePlus

An integrated framework for connecting the diabetes and food ontologies.
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ijerph-11-01106-f008: An integrated framework for connecting the diabetes and food ontologies.

Mentions: Grapher (Golden and Rockware software) solutions are used to draw the multidimensional data schemas as represented in Figure 3, Figure 4 and Figure 5. Protégé 4, an ontology descriptive editor, describes multiple dimensions, fact tables, their attributes, their associations including population of data instances in dimension and fact tables. All the workflows, described in the paper, are initially designed by golden software solutions. Figure 8 depicts an integrated framework, starting from acquisition of data sources through conceptualization to implementation of conceptualized models through evaluation of models. It is a prerequisite that an ontologist, who describes the knowledge based ontologies, has an idea on domain knowledge and even evaluating models at intermediate stages of development. Cubes are normally generated either in Windows-based or Unix-based, Oracle driven workstations. 3D cubes are cartoons, drawn again using grapher editor and drafting utilities, to represent how multidimensional data is organized in the 3D data cubes. As demonstrated in an integrated workflow, all the sequence of events that occur from conceptualization to implementation are intelligently connected and stored. This framework works interactively on live data, in which description of data, data types, domains, structures, data integration (through data warehousing), data mining, visualization and interpretation, all are performed in a single canvas.


On robust methodologies for managing public health care systems.

Nimmagadda SL, Dreher HV - Int J Environ Res Public Health (2014)

An integrated framework for connecting the diabetes and food ontologies.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3924495&req=5

ijerph-11-01106-f008: An integrated framework for connecting the diabetes and food ontologies.
Mentions: Grapher (Golden and Rockware software) solutions are used to draw the multidimensional data schemas as represented in Figure 3, Figure 4 and Figure 5. Protégé 4, an ontology descriptive editor, describes multiple dimensions, fact tables, their attributes, their associations including population of data instances in dimension and fact tables. All the workflows, described in the paper, are initially designed by golden software solutions. Figure 8 depicts an integrated framework, starting from acquisition of data sources through conceptualization to implementation of conceptualized models through evaluation of models. It is a prerequisite that an ontologist, who describes the knowledge based ontologies, has an idea on domain knowledge and even evaluating models at intermediate stages of development. Cubes are normally generated either in Windows-based or Unix-based, Oracle driven workstations. 3D cubes are cartoons, drawn again using grapher editor and drafting utilities, to represent how multidimensional data is organized in the 3D data cubes. As demonstrated in an integrated workflow, all the sequence of events that occur from conceptualization to implementation are intelligently connected and stored. This framework works interactively on live data, in which description of data, data types, domains, structures, data integration (through data warehousing), data mining, visualization and interpretation, all are performed in a single canvas.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: School of Information Systems, CBS, Curtin University, Perth, 6102 WA, Australia. shastri.nimmagadda2011@gmail.com.

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.

Show MeSH
Related in: MedlinePlus