A New Semantic Resource Description Framework for Medical Diagnosis based on Gene Ontology
Anjna Jayant Deen1, Manasi Gyanchandani2
1Anjna Jayant Deen*, Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal.
2Manasi Gyanchandani, Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal.
Manuscript received on December 16, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 1388-1396 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8324019320/2020©BEIESP | DOI: 10.35940/ijitee.C8324.019320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Semantic-Based medical informatics system is an interdisciplinary deflect of bioinformatics research, where a dealing to knowledge discovery of proper diagnosis of disease leads to more attention about health control before health complications. To do this work is in the aspects of various ways like preserving and accessing patient’s medical records for further information retrieval from pre-recorded datasets. Now some research has mostly used to medical metrics method combined with statistical information and social network analysis citation approach to analyze. Due to this limited citation information force to develop a new dimension of the semantic web-based medical diagnosis system. In this study the approach of implementing autonomic gene computing in medical informatics, in this framework a new semantic resource description network for medical diagnostics based on Gene Ontology, this way the diagnosis context capture its levels of symptoms. Every patient has their unique symptoms which are kept and fetched by semantic web applications, In this framework we used gene-based symptom indication for disease diagnosis, and merge with drug prescription leads to more suitable results that can be useful for physicians and medical practitioner, as to achieve efficient solutions in the new direction to make life saving analysis from the database. Being a very effective and enhanced web application tool can be applied in the medical field to make it useful for the society. The web interface for drugs prescription accepts the diseases and symptoms from the domain updated in the database and successfully displays prescribed drugs for each disease.
Keywords: RDF, Gene Ontology, Semantic Web Application, Medical Informatics, Diseases and Drugs
Scope of the Article: Patterns and frameworks