International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


papers

Medical Aid Fraud and Abuse Detection System Using Machine Learning 

Faith Nyakudya 

Masters Student, Dept. of Software Engineering., School of Information Sciences, Harare Institute of Technology, Zimbabwe 

DOI: 10.15680/IJIRCCE.2023.1007002

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