A Novel Approach for Design of Ontology Based Clinical Decision Support System
Main Article Content
Abstract
Ontologies are becoming increasingly prevalent and important in a wide range of medical applications. Medical applications are using ontologies for decision making. In Medical system collecting data is extremely important for growth and change. Analyzing data resulting from your unit outcomes, discovering strategies to tackle the issue, and formulating a plan for improvement will assist you in making better clinical decisions. Medical data is one of the most crucial data to be processed for decision making. Decision making systems of such kind is fully automatic take the benefit of knowledge engineering-based architectures. Medical time series contain important information about the condition of a patient. However, due to the large amount of data and the staff shortage, it is difficult for physicians to monitor these time series for trends that suggest a relevant clinical detoriation due to a complication or new pathology.
Keywords: Diabetic disease, Malaria Disease, Knowledge Management, Knowledge Engineering, Ontology Engineering
Keywords: Diabetic disease, Malaria Disease, Knowledge Management, Knowledge Engineering, Ontology Engineering
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.