Innovative feature selection and classification model for heart disease prediction

被引：23

作者：

Nagarajan S.M. ^{[1
]}

Muthukumaran V. ^{[2
]}

Murugesan R. ^{[2
]}

Joseph R.B. ^{[3
]}

Meram M. ^{[4
]}

Prathik A. ^{[5
]}

机构：

[1] School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, Amaravati

[2] Department of Mathematics, School of Advance Sciences, REVA University, Bangalore

[3] Department of Mathematics, Christ Academy Institute for Advance Studies, Bangalore

[4] Department of Mathematics, Rajiv Gandhi University of Knowledge Technologies, R. K. Valley, Andhra Pradesh, Nuzividu

[5] Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai

来源：

Journal of Reliable Intelligent Environments | 2022年 / 8卷 / 04期

关键词：

Crow search algorithm (CSA); Deep convolutional neural network; Genetic algorithm; Healthcare analysis; Optimization;

D O I：

10.1007/s40860-021-00152-3

中图分类号：

学科分类号：

摘要：

Heart disease is a complex disease that affects a large number of people worldwide. The timely and accurate detection of heart disease is critical in healthcare, particularly in the field of cardiology. In this article, we proposed a system for diagnosing heart disease that is both efficient and accurate, and it is based on machine-learning techniques. The diagnosis of heart disease is found to be a serious concern, so the diagnosis has to be done remotely and regularly to take the prior action. In the present world, finding the prevalence of heart disease has become a key research area for the researchers and many models have crown proposed in the recent year. The optimization algorithm plays a vital role in heart disease diagnosis with high accuracy. Important goal of this work is to develop a hybrid GCSA which represents a genetic-based crow search algorithm for feature selection and classification using deep convolution neural networks. From the obtained results, the proposed model GCSA shows increase in the classification accuracy by obtaining more than 94% when compared to the other feature selection methods. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

引用

页码：333 / 343

页数：10

共 28 条

[1] Ang J.C., Mirzal A., Haron H., Hamed H.N.A., Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection, IEEE/ACM Trans Comput Biol Bioinform, 13, 5, pp. 971-989, (2015)
[2] Coronato A., Cuzzocrea A., An innovative risk assessment methodology for medical information systems, IEEE Trans Knowl Data Eng, (2020)
[3] Ge Z., Song Z., Ding S.X., Huang B., Data mining and analytics in the process industry: the role of machine learning, IEEE Access, 5, pp. 20590-20616, (2017)
[4] Hira Z.M., Gillies D.F., A review of feature selection and feature extraction methods applied on microarray data, Adv Bioinform, 2015, pp. 1-13, (2015)
[5] Hu B., Dai Y., Su Y., Moore P., Zhang X., Mao C., Chen J., Xu L., Feature selection for optimized high-dimensional biomedical data using an improved shuffled frog leaping algorithm, IEEE/ACM Trans Comput Biol Bioinform, 15, 6, pp. 1765-1773, (2016)
[6] Karaboga D., Basturk B., On the performance of artificial bee colony (ABC) algorithm, Appl Soft Comput, 8, 1, pp. 687-697, (2008)
[7] Karunyalakshmi M., Tajunisha N., Classification of cancer datasets using artificial bee colony and deep feed forward neural networks, Int J Adv Res Comput Commun Eng, 62, pp. 33-41, (2017)
[8] Manogaran G., Alazab M., Saravanan V., Rawal B.S., Shakeel P.M., Sundarasekar R., Nagarajan S.M., Kadry S.N., Montenegro-Marin C.E., Machine learning assisted information management scheme in service concentrated IoT, IEEE Trans Ind Inform, 17, 4, pp. 2871-2879, (2020)
[9] Misra D., Das G., Das D., An IoT based building health monitoring system supported by cloud, J Reliab Intell Environ, 6, pp. 141-152, (2020)
[10] Muni Kumar N., Manjula R., Et al., Role of big data analytics in rural health care—a step towards Svasth Bharath, Int J Comput Sci Inf Technol, 5, 6, pp. 7172-7178, (2014)

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