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Bala, A., Malhotra, S., Gupta, N., & Ahuja, N. (2016). Emerging Green ICT: Heart Disease Prediction Model in Cloud Environment. In Proceedings of International Conference on ICT for Sustainable Development (pp. 579-587). Springer Singapore. |
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Turabieh, H. (2016). A Hybrid ANN-GWO Algorithm for Prediction of Heart Disease. American Journal of Operations Research, 6(02), 136. |
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Karlik, B. The Positive Effects of Fuzzy C-Means Clustering on Supervised Learning Classifiers. |
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Ruiz-Fernández, D., Torra, A. M., Soriano-Payá, A., Marín-Alonso, O., & Palencia, E. T. (2016). Aid decision algorithms to estimate the risk in congenital heart surgery. Computer Methods and Programs in Biomedicine. |
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Pant, H., & Srivastava, R. MINDEX_IB: A Feature Selection method for Imbalanced Dataset. IONOSPHERE, 34(2), 126-225. |
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Patil, N., Patil, A. S., & Pawar, B. V. (2016). Survey of Named Entity Recognition Systems with respect to Indian and Foreign Languages. International Journal of Computer Applications, 134(16). |
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Elyazgi, M., Nilashi, M., Ibrahim, O., Rayhan, A., & Elyazgi, S. (2016). Evaluating the Factors Influencing E-book Technology Acceptance among School Children Using TOPSIS Technique. Journal of Soft Computing and Decision Support Systems, 3(2), 11-25. |
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Chitra, D., & Nasira, G. M. (2015). wrapper based feature selection for ct image. ictact journal on image & video processing, 6(1). |
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Pyshkin, E., & Kuznetsov, A. (2015, September). Approach to building a web-based expert system interface and its application for software provisioning in clouds. In Computer Science and Information Systems (FedCSIS), 2015 Federated Conference on (pp. 343-354). IEEE. |
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10 |
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Radhimeenakshi, S., & Nasira, G. M. Prediction of Heart Disease using Neural Network with Back Propagation. |
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