Mathematical Modelling for Prediction and Classification of Neonatal Infections by using Rough Set
Sipali Pradhan1, Jitendu Kumar Mantri2, Sujogya Mishra3, P. K. Pattnaik4
1Sipali Prdhan*, Ph. D Scholar, North Odisha University, Odisha, India. 2Dr. Jitendu Kumar Mantri, Professor, Department of Computer Science, North Odisha University, Odisha, India.
3Dr. Sujogya Mishra, Assistant Professor, Department of Mathematics and Computing, CET, Bhubaneswar, Odisha, India.
4Dr. Pradyumna Kumar Pattnaik, Assistant Professor, Department of Mathematics and Computing, CET, Bhubaneswar, Odisha, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 25, 2020. | Manuscript published on March 10, 2020. | PP: 853-855 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2710039520/2020©BEIESP | DOI: 10.35940/ijitee.E2710.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Human contagious diseases are basically affected newly born baby. Millions of death occur due to these diseases of our intention to give a prediction of such diseases. Study report analysis the symptom of this diseases with minimum attributes by using Rough set Technique and to predict the contagious diseases are using Time series model.
Keywords: AI-Aritificial Intelligence, RST-Rough Set Theory, CS-Congetive Science, ML-Machine Learning, KD Knowledge Discovery, DA-Data Analysis, Data Mining and Time series.
Scope of the Article: Classification