Abstract:

Temporal reasoning involves the deduction of temporal dependencies among temporal intervals, explanation of the past using historical and current data, planning and prediction of the future using temporal data. In this paper, we propose a diagnostic decision support system for adverse drug reaction using temporal reasoning. The major functionality of our system is focused on adverse drug reaction, which is an inadvertent medical consequence of treatment with pharmaceuticals. The analysis has been carried out based on Modified Association Classification algorithm, which uses Interestingness and Local Support measures to calculate the risk ratio and the odds ratio. We use a tool named Magnum Opus to generate rules, which are stored in a knowledge base. In addition to rule generation using Magnum Opus our system uses a modified version of Apriori algorithm to generate temporal rules. Given aquery, the system identifies the factors, which increases the risk of adverse drug reaction. We have built aknowledge base with an inference engine and a forecasting engine that applies the rules using a backward chaining control flow for effective prediction and decision-making.

Keywords: Drug Reaction, Knowledge Base, Temporal Reasoning, Prediction and Association Rules

(Full Paper 325KB)

Biography:

P.R. Venkateswaran, is interested in control theory and soft computing applications. He is currently perusing his doctoral thesis on Intelligent control systems and has 7 years of teaching experience in graduate and postgraduate levels. He has presented papers at national and international conferences on the topics of his interest. He is also invited regularly for guest lectures in the areas of control theory and Programmable Logic  Controllers. Presently he is Senior Lecturer, Instrumentation and Control Engineering Department, Manipal Institute of Technology, Manipal, India.

Dr. S. Chatterji, has done his doctoral research on Power systems and has an experience of over 32 years in teaching and industries. He has presented many papers in national and international journals. He has carried out 18 sponsored research projects in his career and has guided 37 M.E projects. He is the author of 5 books and is the reviewer of PhD Thesis Synopsis for Punjab Technical University, Jalandhar. Presently, he is Professor and Head, Electrical Engineering Department, National Technical Teachers Training Institute and Research, Chandigarh, India.

S. Meenatchisundaram, did his under graduation in Instrumentation and Control Engineering and post graduation in Digital Electronics and Advanced Communication. He is having an experience of over 7 years in both Industry and teaching. His fields of interests include Mechatronics, Sensors and Control Systems. He has published papers in Journal of Instrument Society of India and in many conferences. Presently he is Lecturer, Instrumentation and Control Engineering Department, Manipal Institute of Technology, Manipal, India.

BibTex:

@ARTICLE{P1120615001,

AUTHOR = {P.R. Venkateswaran and S.Chatterji and S. Meenatchisundaram},

TITLE = {Design and Implementation of neurofuzzy controller for Flow Process},

JOURNAL ={The International Journal of Artificial Intelligence and Machine Learning},

}

(Full Paper 325KB)