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Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques. IEEE Access. (2021) 9:19304-26. doi: 10.1109/ ACCESS.2021.3053759 https://doi.org/10.1109/ACCESS.2021.3053759</unstructured_citation></citation><citation key="ref8"><doi>10.1109/ICIMCIS48181.2019.8985205</doi><unstructured_citation>Maiga J., Hungilo G. G. (2019). &quot;Comparison of machine learning models in prediction of cardiovascular disease using health record data.&quot; in 2019 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) IEEE, 45-48 https://doi.org/10.1109/ICIMCIS48181.2019.8985205</unstructured_citation></citation><citation key="ref9"><unstructured_citation>Suchita B. Patel, Dr. Samratvivekanand O Khanna, &quot;2-Tier Trust Based Model Forintrusion Detection System in Mobile Adhoc Network&quot; International Journal of Research and Innovation in Applied Science (IJRIAS) |Volume I, Issue IV, July 2016|ISSN 2454-6194</unstructured_citation></citation><citation key="ref10"><doi>10.35940/ijrte.C6535.098319</doi><unstructured_citation>Mr. G. S. Chhabra* and Dr. A. Sahrma, &quot;Prediction of Personality Traits from Text using Time Efficient Preprocessing and Deep Convolution Neural Network,&quot; International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 3. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 8772-8777, Sep. 30, 2019. doi: 10.35940/ijrte.c6535.098319. Available: http://dx.doi.org/10.35940/ijrte.C6535.098319.</unstructured_citation></citation><citation key="ref11"><doi>10.35940/ijrte.C4484.098319</doi><unstructured_citation>Basheera and D. M. S. S. 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Site, &quot;A Comprehensive Study on Different Machine Learning Techniques to Predict Heart Disease,&quot; Indian Journal of Artificial Intelligence and Neural Networking, vol. 2, no. 3. Lattice Science Publication (LSP), pp. 1-7, Apr. 30, 2022. doi: 10.54105/ijainn.c1046.042322. Available: http://dx.doi.org/10.54105/ijainn.C1046.042322.</unstructured_citation></citation><citation key="ref14"><doi>10.35940/ijeat.F9085.088619</doi><unstructured_citation>P. Garg* and S. K. Vishwakarma, &quot;An Efficient Prediction of Share Price using Data Mining Techniques,&quot; International Journal of Engineering and Advanced Technology, vol. 8, no. 6. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 3110-3115, Aug. 30, 2019. doi: 10.35940/ijeat.f9085.088619. Available: http://dx.doi.org/10.35940/ijeat.F9085.088619</unstructured_citation></citation></citation_list>
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