General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2015 Vol.7(6): 439-443 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.999

Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems

Jamilu Awwalu, Ali Garba Garba, Anahita Ghazvini, and Rose Atuah

Abstract—Artificial Intelligence has significantly gained grounds in our daily livelihood in this age of information and technology. As with any field of study, evolution takes place in terms of breakthrough or developmental research leading to advancement and friendly usability of that specific technology. Problems from different areas have been successfully solved using Artificial Intelligence algorithms. In order to use AI algorithms in solving Personalized Medicine problems such as; disease detection or prediction, accurate disease diagnosis, and treatment optimization, the choice of the algorithm influenced by its ability and applicability matters. This paper reviews the application and ability of artificial neural network (ANN), support vector machines (SVM), Naïve Bayes, and fuzzy logic in solving personalized medicine problems, and shows that the obtained results meet expectations. Also, the achievement from the previous studies encourages developers and researchers to use these algorithms in solving Medical and Personalized Medicine problems.

Index Terms—Personalized medicine, artificial neural networks, support vector machines, Naive Bayesian.

Jamilu Awwalu is with the Faculty of Computer Science and IT, Baze University Abuja, Nigeria (email: Jamilu.awwalu@bazeuniversity.edu.ng).
Ali Garba Garba, Anahita Ghazvini, and Rose Atuah are with the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ihsan, Malaysia (e-mail: {aligarba, P72674, roseatuah}@siswa.ukm.edu.my).

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Cite:Jamilu Awwalu, Ali Garba Garba, Anahita Ghazvini, and Rose Atuah, "Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems," International Journal of Computer Theory and Engineering vol. 7, no. 6, pp. 439-443, 2015.


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