References
- V.V. Ramalingam, Ayantan Dandapath, M Karthik Raja "Heart disease prediction using machine learning tech : A survey" International Journal of Engineering & Technology, 7 (2.8), April 2018.
- T.Nagamani, S.Logeswari, B.Gomathy," Heart Disease Prediction using Data Mining with Mapreduce Algorithm", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-3, January 2019.
- Avinash Golande, Pavan Kumar T, "Heart Disease Prediction Using Effective Machine Learning Techniques", International Journal of Recent Technology and Engineering, Vol 8, pp.944-950,2019.
- Theresa Princy R,J. Thomas,'Human heart Disease Prediction System using Data Mining Techniques', International Conference on Circuit Power and Computing Technologies,Bangalore,2016.
- W. Dai, T. S. Brisimi, W. G. Adams, T. Mela, V. Saligrama, and I. C. Paschalidis, "Prediction of hospitalization due to heart diseases by supervised learning methods", International Journal of Medical Informatics, Vol.84, No.3, pp.189-197, 2015 https://doi.org/10.1016/j.ijmedinf.2014.10.002
- Vinitha S, Sweetlin S, Vinusha H, Sajini S. "Disease Prediction Using Machine Learning Over Big Data". Computer Science & Engineering: An International Journal (CSEIJ), Vol.8, No.1, [2018]. DOI:10.5121/cseij.2018.8101.
- Sayali Ambekar and Dr.Rashmi Phalnikar. "Disease Prediction by using Machine Learning". International journal of computer engineering and applications, Volume XII, special issue, May 18. ISSN: 2321-3469.
- A. F. Otoom, E. E. Abdallah, Y. Kilani, A. Kefaye, and M. Ashour,"Effective diagnosis and monitoring of heart disease", International Journal of Software Engineering and Its Applications, Vol.9, No.1, pp. 143-156, 2015.
- V. Chaurasia and S. Pal, "Data mining approach to detect heart diseases", International Journal of Advanced Computer Science and Information Technology, Vol.2, No.4, pp.56-66, 2014..
- Nagaraj M Lutimath,Chethan C,Basavaraj S Pol.,'Prediction Of Heart Disease using Machine Learning', International journal Of Recent Technology and Engineering,8,(2S10), pp 474-477, 2019.
- Vidhya K, Shanmugalakshmi R. Modified adaptive neuro-fuzzy inference system (M-ANFIS) based multi-disease analysis of healthcare big data. J Supercomput. 2020;76:8657-8678. https://doi.org/10.1007/s11227-019-03132-w
- Raj S. An efficient IoT-based platform for remote real-time cardiac activity monitoring. IEEE Trans Consum Electron. 2020;66:106-114. https://doi.org/10.1109/TCE.2020.2981511
- Bharathi R, Abirami T, Dhanasekaran S. Energy efficient clustering with disease diagnosis model for IoT based sustainable healthcare systems. Sustain Comput Inform Syst. 2020;28(100453):1-28.
- Khan MA, Algarni F. A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS. IEEE Access. 2020;8:122259-122269. https://doi.org/10.1109/ACCESS.2020.3006424
- Khan MA. An IoT framework for heart disease prediction based on MDCNN classifier. IEEE Access. 2020;8:34717-34727. https://doi.org/10.1109/ACCESS.2020.2974687
- Mohan S, Thirumalai C, Srivastava G. Effective heart disease prediction using hybrid machine learning techniques. IEEE Access. 2019;7:81542-81554. https://doi.org/10.1109/ACCESS.2019.2923707
- Al-Makhadmeh Z, Tolba A. Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: a classification approach. Measurement. 2019;147(106815):1-15.
- Nalluri M, Manisha M, Roy D. Hybrid disease diagnosis using multiobjective optimization with evolutionary parameter optimization. J Healthcare Eng. 2017;5907264:1-27. https://doi.org/10.1155/2017/5907264
- S.-H. Wang, T.-M. Zhan, Y. Chen, Y. Zhang, M. Yang, H.-M. Lu, H.- N. Wang, B. Liu, and P. Phillips, "Multiple sclerosis detection based on biorthogonal wavelet transform, rbf kernel principal component analysis, and logistic regression," IEEE Access, vol. 4, pp. 7567-7576, 2016. https://doi.org/10.1109/ACCESS.2016.2620996
- S. Bandyopadhyay, J. Wolfson, D. M. Vock, G. Vazquez-Benitez, G. Adomavicius, M. Elidrisi, P. E. Johnson, and P. J. O'Connor, "Data mining for censored time-to-event data: a bayesian network model for predicting cardiovascular risk from electronic health record data," Data Mining and Knowledge Discovery, vol. 29, no. 4, pp. 1033-1069, 2015. https://doi.org/10.1007/s10618-014-0386-6
- J. Wan, S. Tang, D. Li, S. Wang, C. Liu, H. Abbas and A. Vasilakos, "A Manufacturing Big Data Solution for Active Preventive Maintenance", IEEE Transactions on Industrial Informatics, 2017.
- W. Yin and H. Schutze, "Convolutional neural network for paraphrase identification." in HLT-NAACL, 2015
- S.-M. Chu, W.-T. Shih, Y.-H. Yang, P.-C. Chen, and Y.-H. Chu, "Use of traditional chinese medicine in patients with hyperlipidemia: A population-based study in taiwan," Journal of ethnopharmacology, 2015