Computational Intelligence in Healthcare Informatics

D. P. Acharjya received his Ph.D. in computer science from Berhampur University, India; M. Tech. degree in computer science from Utkal University, India; and M. Sc. from NIT, Rourkela, India. He has received a Gold Medal from NIT Rourkela. Currently, he is working as a professor in the School of Computer Science and Engineering, at VIT University, Vellore, India. He has authored more than 100 national and international journals, conference papers, and book chapters to his credit. He is acting as an editorial board member of various journals and reviewer of IEEE Fuzzy Sets and Systems, Applied Soft Computing (Elsevier), and Knowledge base Systems (Elsevier). He is associated with many professional bodies CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE, and IAENG. He was a founder secretary of OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing, and business intelligence.Kun Ma received his Ph.D. degree in Computer Software and Theory from Shandong University, Jinan, Shandong, China, in 2011. He is an associate professor in School of Information Science and Engineering, University of Jinan, China, and Shandong Provincial Key Laboratory for Network-Based Intelligent Computing. He has served as the program committee member of various international conferences and reviewer for various international journals. He is the co-editor-in-chief of International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM). He is the managing editor of Journal of Information Assurance and Security (JIAS). He is the editorial board member of International Journal of Grid and Utility Computing and International Journal of Intelligent Systems Design and Computing. His research interests include stream data processing, data intensive computing, and big data management. He has obtained 12 patents for inventions.

• Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases.- Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges.- A Review on Metaheuristic Approaches for Optimization Problems.- Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning.- Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population