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    Developing Concept Enriched Models for Big Data Processing Within the Medical Domain

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    Author
    Gudivada, Akhil; Tabrizi, Nasseh; Philips, James
    Abstract
    Within the past few years, the medical domain has endeavored to incorporate artificial intelligence, including cognitive computing tools, to develop enriched models for processing and synthesizing knowledge from Big Data. Due to the rapid growth in published medical research, the ability of medical practitioners to keep up with research developments has become a persistent challenge. Despite this challenge, using data-driven artificial intelligence to process large amounts of data can overcome this difficulty. This research summarizes cognitive computing methodologies and applications utilized in the medical domain. Likewise, this research describes the development process for a novel, concept-enriched model using the IBM Watson service and a publicly available diabetes dataset and knowledge-base. Finally, reflection is offered on the strengths and limitations of the model and enhancements for future experiments. This work thus provides an initial framework for those interested in effectively developing, maintaining, and using cognitive models to enhance the quality of healthcare.
    URI
    http://hdl.handle.net/10342/8898
    Subject
     Artificial Intelligence; Cognitive Computing; Big Data; Medical; Information Retrieval 
    Date
    2020-07
    Citation:
    APA:
    Gudivada, Akhil, & Tabrizi, Nasseh, & Philips, James. (July 2020). Developing Concept Enriched Models for Big Data Processing Within the Medical Domain. International Journal of Software Science and Computational Intelligence (IJSSCI), (12:3), p.55 - 71. Retrieved from http://hdl.handle.net/10342/8898

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Gudivada, Akhil, and Tabrizi, Nasseh, and Philips, James. "Developing Concept Enriched Models for Big Data Processing Within the Medical Domain". International Journal of Software Science and Computational Intelligence (IJSSCI). 12:3. (55 - 71.), July 2020. April 21, 2021. http://hdl.handle.net/10342/8898.
    Chicago:
    Gudivada, Akhil and Tabrizi, Nasseh and Philips, James, "Developing Concept Enriched Models for Big Data Processing Within the Medical Domain," International Journal of Software Science and Computational Intelligence (IJSSCI) 12, no. 3 (July 2020), http://hdl.handle.net/10342/8898 (accessed April 21, 2021).
    AMA:
    Gudivada, Akhil, Tabrizi, Nasseh, Philips, James. Developing Concept Enriched Models for Big Data Processing Within the Medical Domain. International Journal of Software Science and Computational Intelligence (IJSSCI). July 2020; 12(3) 55 - 71. http://hdl.handle.net/10342/8898. Accessed April 21, 2021.
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