Prof. T. Velmurugan
D.G.Vaishnav College, India
Title: Classifying Heart Disease in Medical Data using Deep Learning Methods
Abstract:
Recent days, heart ailments assume a fundamental role in the world. The physician gives different name for heart disease, for example, cardiovascular failure, heart failure and so on. Among the automated techniques to discover the coronary illness, this research work uses Named Entity Recognition (NER) algorithm to discover the equivalent words for the coronary illness content to mine the significance in clinical reports and different applications. The Heart sickness text information given by the physician is taken for the preprocessing and changes the text information to the ideal meaning, at that point the resultant text data taken as input for the prediction of heart disease. This experimental work utilizes the NER to discover the equivalent words of the coronary illness text data and currently uses the two strategies namely Optimal Deep Learning and Whale Optimization which are consolidated and proposed another strategy Optimal Deep Neural Network (ODNN) for predicting the illness. For the prediction, weights and ranges of the patient affected information by means of chosen attributes are picked for the experiment. The outcome is then characterized with the Deep Neural Network and Artificial Neural Network to discover the accuracy of the algorithms. The performance of the ODNN is assessed by means for classification methods, for example, precision, recall and f-measure values.
Keywords: Named Entity Recognition Algorithm, Neural Network methods, Whale Optimization Algorithm, F-Measure, Recall, Precision.
Biography:
Dr. T. Velmurugan is working as an Associate Professor in the PG and Research Department of Computer Science and Applications, D.G.Vaishnav College, Chennai-600106, India. Also, he is the Head of the Department of Computer Applications (BCA). He holds a Ph.D. degree in Computer Science from the University of Madras. He has 27 years of teaching experience. He has guided more than 300 M.Phil., Research Scholars in the field of Computer Science. He guided 9 Ph.D. scholars and currently guiding 8 Ph.D. scholars in the same field. He has published more than 100 articles indexed in SCOPUS and SCI such as Applied Soft Computing, Journal of Computer Science and etc. He elected and served as a Senate Member from Academic Council, University of Madras. He has a lot of administrative experiences like Co-ordinator for Distance education programs, Camp Officer for Central Valuation in college as well as University level, Chief Superintend for the conduct of Examination and etc. He served as advisory board member to many academic institutions in and around Tamil Nadu. He was an invited speaker and keynote speaker for many international conferences around the world. He served as a nominated Senate Member in the Middle East University, Dubai, UAE for a period of three years. He is a member in Board of studies for many autonomous institutions and Universities like Periyar University, Salem, and SCSVMV University, India and etc. He hosted a lot of programmes in Doordharsan Television about recent topics in Information Technology. He was an Organizing Secretary of International Conference on Computing and Intelligence Systems (ICCIS 2015) and an international workshop on Applications of IoT. In addition, he was a resource person for various national workshops entitled "Scientific Research Article Writing and Journal Publications". Also, he hosted more than 50 webinars during COVID 19 pandemic period. He is an Editorial Board Member of 5 International Journals. He also a reviewer in many peer reviewed journals like Elsevier, Springer, IOSPress Journals etc. Further, he is a visiting faculty for M.Phil. course for various universities throughout India. His H index is 16 and i10 index is 22. His area of specialisation includes Data Mining, Artificial Intelligence, Machine Learning, Network Security, Big Data Analytics, Data Science and etc.