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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 example of diagnostic map view, showing red-blood density patterns.
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ijerph-11-01106-f013: An example of diagnostic map view, showing red-blood density patterns.

Mentions: Metadata that describe ontologically described multidimensional warehoused data support the data mining and visualization processes, which can chain the visual thinking. Visual thinking influences more on brain, with pictorial representation of processed or organized data, which is much better than representing in tables containing numbers. Grids, as narrated in Section 4.2, are used for computing surfaces. One of such surfaces, as shown in Figure 13, is an example, narrating thicker and thinner red blood density patterns, signifying glucose effects. The right presentation of logical information and its visualization make patterns simple for interpretation. Features, trends and outliers show up visually better way for interpretation, otherwise they never do with simple rows and columns. Simple pictorial map views depict the glucose data instance variations within a human body and with respect to periodic and space attribute dimensions, as described in the following sections.


On robust methodologies for managing public health care systems.

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

An example of diagnostic map view, showing red-blood density patterns.
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-11-01106-f013: An example of diagnostic map view, showing red-blood density patterns.
Mentions: Metadata that describe ontologically described multidimensional warehoused data support the data mining and visualization processes, which can chain the visual thinking. Visual thinking influences more on brain, with pictorial representation of processed or organized data, which is much better than representing in tables containing numbers. Grids, as narrated in Section 4.2, are used for computing surfaces. One of such surfaces, as shown in Figure 13, is an example, narrating thicker and thinner red blood density patterns, signifying glucose effects. The right presentation of logical information and its visualization make patterns simple for interpretation. Features, trends and outliers show up visually better way for interpretation, otherwise they never do with simple rows and columns. Simple pictorial map views depict the glucose data instance variations within a human body and with respect to periodic and space attribute dimensions, as described in the following sections.

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