Thursday 28th of March 2024
 

A Review of Data Mining Classification Techniques Applied for Diagnosis and Prognosis of the Arbovirus-Dengue


A. Shameem Fathima, D. Manimegalai and Nisar Hundewale

Chikungunya (CHIK) virus, similar to Dengue pose a serious threat in Tropics, because of the year-round presence of Aedes mosquito vectors .The use of machine learning techniques and data mining algorithms have taken a great role in the diagnosis and prognosis of many health diseases. But a very few work has been initialized in this arboviral medical informatics. Our focus is to observe clinical and physical diagnosis of chikungunya viral fever patients and its comparison with dengue viral fever. Our project aims to integrate different sources of information and to discover patterns of diagnosis, for predicting the viral infected patients and their results. The scope is mainly in the classification problem of these often confused arboviral infections. This study paper summarizes various review and technical articles on arboviral diagnosis and prognosis. In this paper we present an overview of the current research being carried out using the data mining techniques to enhance the arboviral disease diagnosis and prognosis. This paper is not intended to provide a comprehensive overview of medical data mining but rather describes some areas which seem to be important from our point of view for applying machine learning in medical diagnosis for our real viral dataset.

Keywords: Data Mining, Medical data, Machine learning algorithms, Diagnosis, Arbovirus

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ABOUT THE AUTHORS

A. Shameem Fathima
A.Shameem Fathima is currently a Ph.D student in the Department of Computer Science and Engineering at Manonmanium Sundaranar University,India.She obtained M.E in Computer Science and Engineering from Crescent Engineering College affiliated to Anna University in 2004.She has 5 years of teaching experience in different academic institutions in India and abroad. She has a proven career record and has published many papers in conferences. Her focus of research is Data Mining.

D. Manimegalai
Dr.D.Manimegalai is Professor and Head of the Department of Information Technology in National Engineering College. She had her BE & ME from Government College of Technology, Coimbatore and PhD from Manonmaniam Sundaranar University, Tirunelveli.Her Current areas of research interests include Medical Image Processing and Data Mining and Image Retrieval. She is a life member of Computer Society of India, Institution of Engineers, System Society of India and Indian Society for Technical Education.

Nisar Hundewale
Dr. Nisar Hundewale received his Ph.D. in Computer Science from Georgia State University, USA. He has worked at National Institutes of Health (NIH), USA, as post-doctoral Fellow. Currently, he is an Assistant Professor and Associate Dean for Research at Taif University. His research interests are Algorithms, Machine Learning, Bioinformatics, Distributed Computing, and Networking. He is a great inspiration and shore up to young researchers.


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