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

dc.contributor.authorGudivada, Akhil
dc.contributor.authorTabrizi, Nasseh
dc.contributor.authorPhilips, James
dc.date.accessioned2021-03-25T00:30:07Z
dc.date.available2021-03-25T00:30:07Z
dc.date.issued2020-07
dc.description.abstractWithin 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.en_US
dc.identifier.citationGudivada, Akhil,et al. "Developing Concept Enriched Models for Big Data Processing Within the Medical Domain." IJSSCI 12.3 (2020): 55-71. Web. 24 Mar. 2021. doi:10.4018/IJSSCI.2020070105en_US
dc.identifier.urihttp://hdl.handle.net/10342/8898
dc.language.isoen_USen_US
dc.relation.urihttps://www.igi-global.com/article/developing-concept-enriched-models-big/258866en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectCognitive Computingen_US
dc.subjectBig Dataen_US
dc.subjectMedicalen_US
dc.subjectInformation Retrievalen_US
dc.titleDeveloping Concept Enriched Models for Big Data Processing Within the Medical Domainen_US
dc.typeArticleen_US
ecu.journal.issue3en_US
ecu.journal.nameInternational Journal of Software Science and Computational Intelligence (IJSSCI)en_US
ecu.journal.pages55 - 71en_US
ecu.journal.volume12en_US

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