b800c7c5-75b4-4f8a-988c-32e54ab00748 beie director@blueeyesintelligence.org 10.35940/ijrte.F5385.039621 10.1109/ACCESS.2016.2613278Loai A. Tawalbeh, Rashid Mehmood, Elhadj Benkhlifa, Houbing Song," Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications", IEEEAccess, Volume: 4,201610.1016/j.ijmedinf.2016.11.006DongxiaoGu,Jingjing Li, XingguoLi,Changyong Liang," Visualizing the knowledge structure and evolution of big data research in healthcare informatics", International Journal of Medical Informatics, Volume 98, Pages 22-32, 201710.1631/FITEE.1500441Aisha Siddiqa, Ahmad Karim, Abdullah Gani," Big data storage technologies: a survey", Frontiers of Information Technology & Electronic Engineering, August 2017, Volume 18, Issue 8, pp 1040-107010.1007/s11036-013-0489-0Min Chen,ShiwenMao, Yunhao Li," Big Data: A Survey", Mobile Networks and Applications, Volume 19, Issue 2, pp 171-209, 201410.1109/BigData.2014.7004422Lopez, D., Gunasekaran, M., Murugan, B. S., Kaur, H., Abbas, K. M.," Spatial big data analytics of influenza epidemic in Vellore, India", In Big Data (Big Data), IEEE International Conference on (pp. 19-24). IEEE, 201410.1016/j.jksuci.2017.06.001Ahmed Oussous, Fatima-Zahra Benjelloun, Ayoub AitLahcen, Samir Belfkih," Big Data Technologies: A Survey" Journal of King Saud University - Computer and Information Sciences, 201710.1109/TKDE.2016.2605687S. Wang, X. Chang, X. Li, G. Long, L. Yao, and Q. Z. Sheng, ''Diagnosis code assignment using sparsity-based disease correlation embedding,'' IEEE Trans. Knowl. Data Eng., vol. 28, no. 12, pp. 3191_3202, Dec. 2016.10.1186/s13755-016-0018-1Gang Luo," Predict-ML: a tool for automating machine learning model building with big clinical data", Health Information Science and Systems, 201610.1109/JPROC.2016.2615052V. Tresp, J. M. Overhage, M. Bundschus, S. Rabizadeh, P. A. Fasching, and S. Yu, ''Going digital: A survey on digitalization and large-scale data analytics in healthcare,'' Proc. IEEE, vol. 104, no. 11, pp. 2180_2206, Nov. 2016.10.1109/BIBE.2008.4696782Dimitrios H. Mantzaris, George C. Anastassopoulos and Dimitrios K. Lymberopoulos," Medical Disease Prediction Using Artificial Neural Networks", IEEE International Conference on Bioinformatics and BioEngineering,200810.1109/JBHI.2014.2353031S. Gopakumar, T. Tran, T. D. Nguyen, D. Phung, and S. Venkatesh, ''Stabilizing high-dimensional prediction models using feature graphs,'' IEEE J. Biomed. Health Inform., vol. 19, no. 3, pp. 1044_1052, May 2015.10.1109/TCBB.2014.2330579H. Li, X. Li, M. Ramanathan, and A. Zhang, ''Prediction and informative risk factor selection of bone diseases,'' IEEE/ACM Trans. Comput. Biol. Bioinf., vol. 12, no. 1, pp. 79_91, Jan./Feb. 2015.10.1109/JBHI.2015.2404829Sudha Ram, Wenli Zhang, Max Williams, Yolande Pengetnze," Predicting Asthma-Related Emergency Department Visits Using Big Data", IEEE Journal of Biomedical and Health Informatics, Volume: 19, Issue: 4, 201510.1016/j.jbi.2017.04.001Trang Pham,Truyen Tran, Dinh Phung, Svetha Venkatesh," Predicting healthcare trajectories from medical records: A deep learning approach", Journal of Biomedical Informatics, Volume 69, Pages 218-229, 201710.1016/j.future.2014.06.009Fan Zhang, JunweiCao, Samee U. Khan,KeqinLi, Kai Hwang," A task-level adaptive MapReduce framework for real-time streaming data in healthcare applications", Future Generation Computer Systems, Volumes 43-44, Pages 149-160, 201510.1109/TKDE.2015.2399298Liqiang Nie, Meng Wang, Luming Zhang, Shuicheng Yan, Bo Zhang, Tat-Seng Chua," Disease Inference from Health-Related Questions via Sparse Deep Learning", IEEE Transactions on Knowledge and Data Engineering, Volume: 27, Issue: 8, 201510.1109/JBHI.2014.2353031Shiva Pratap Gopakumar, Truyen Tran, Tu Dinh Nguyen, Dinh Phung, and Svetha Venkatesh," Stabilizing High-Dimensional Prediction Models Using Feature Graphs", IEEE Journal of Biomedical and Health Informatics, Volume: 19, Issue: 3, 201510.1109/JBHI.2014.2358715J. Henriques, P. Carvalho, S. Paredes, T. Rocha, J. Habetha, M. Antunes, J. Morais," Prediction of heart failure decompensation events by trend analysis of telemonitoring data", IEEE Journal of Biomedical and Health Informatics, Volume: 19, Issue: 5, 201510.1007/s11042-017-5515-yGunasekaran Manogaran, R. Varatharajan, M. K. Priyan," Hybrid Recommendation System for Heart Disease Diagnosis based on Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System", Multimedia Tools and Applications, Volume 77, Issue 4, pp 4379-4399, 201810.1109/ACCESS.2016.2647619PrasantKumarSahoo, savedKumarMohapatra, shih-linewoo," Analyzing Healthcare Big Data with Prediction for Future Health Condition", IEEE Access, Volume: 4 ,201610.1109/TSTE.2012.2193907M. Rizwan, M. Jamil, and D. P. Kothari, "Generalized neural network approach for global solar energy estimation in India," IEEE Transactions on Sustainable Energy, vol. 3, no. 3, pp. 576-584, 2012.10.1109/TPDS.2013.18J. Yuan and S. Yu, "Privacy preserving back-propagation neural network learning made practical with cloud computing," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 1, pp. 212-221, 2014.