Abstract Health informatics has gained a greater focus as the data analytics role has become vital for the last two decades. Many machine learning-based models have evolved to process the huge data involved in this sector. Deep Learning (DL) augmented with Non-Linear Cellular Automata (NLCA) is becoming a powerful tool with great potential to process big data. This will help to develop a system that facilitates parallelization, rapid data storage, and computational power with improved security parameters. This paper provides a novel and robust mechanism with deep learning augmented with non-linear cellular automata with greater security, adaptability for health informatics. The proposed mechanism is adaptable and can address many open problems in medical informatics, bioinformatics, and medical imaging. The security parameters considered in this model are Confidentiality, authorization, and integrity. This method is evaluated for performance, and it reports an average accuracy of 89.32%. The parameters precision, sensitivity, and specificity are considered to measure to measure the accuracy of the model.

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[19] Verma A., Pal S., and Kumar S., “Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method-A Comparative Study,” Applied Biochemistry and Biotechnology, vol. 190, no. 2, pp.341-359, 2020. Kiran Sree Pokkuluri has received his B.Tech and M.E in Computer Science and Engineering from JNTU and Anna University, respectively. He has obtained his Ph.D. degree in the area of Artificial Intelligence from JNTU-Hyderabad. He has authored Six textbooks for UG and PG students of engineering in AI and published more than 96 research articles in various international journals and conferences. He has filed and published six patents in the area of Deep Learning. His biography was listed in Marquis Who’s Who in the World, 29th Edition (2012), USA. Prof Kiran is the Recipient of Bharat Excellence Award from Dr. G.V. Krishna Murthy, Former Election Commissioner of India for two times and recipient of RashtryaRatan Award. He was the BOS member of CSE&IT in some universities and autonomous colleges. He also worked as Principal of the N.B.K.R. Institute of Science & Technology (Second Oldest Private Engg College), Vidyanagar, for two years. He has got 18+ years of teaching experience and working as Head &Professor in the department of CSE at Shri Vishnu Engineering College for Women(A), Bhimavaram. He has delivered many technical talks on Deep Learning and AI in various International Conferences, FDP’S, Webinars. His research interests include Deep Learning, Big Data Analytics, Bioinformatics, and Cloud Computing. He is associated with various journals& conferences in various capacities as Editor in Chief, Editorial Member, and Reviewer. His the Global Vice President of WSA: World Statistical Data Analysis Research Association. SSSN Usha Devi Nedunuri has received her B.Tech degree from JNTU Hyderabad and M.Tech from JNTU Kakinada. She is pursuing her Ph.D from National Institute of Technology, Trichy in the area of Deep Learning. She has published 52 papers in various journals and conferences. She has filed a patent on Deep Learning integrated with IOT. She has acted as resource person for many AICTE sponsored FDP’S and Conferences.