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A Review on Heart Diseases Prediction Using Artificial Intelligence

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Machine Intelligence and Emerging Technologies (MIET 2022)

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Abstract

Heart disease is one of the major concerns of this modern world. The insufficiency of the experts has made this issue a bigger concern. Diagnosing heart diseases at an early stage is possible with Artificial Intelligence (AI) techniques, which will lessen the needed number of experts. This paper has initially discussed different kinds of heart diseases and the importance of detecting them early. Two popular diagnosis systems for collecting data and their working function are then highlighted. Different types of Model architectures in the corresponding field are described. Firstly, the Support Vector Machine (SVM) machine learning algorithm is described, and secondly, popular deep learning model architecture such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), etc. are highlighted to detect heart disease. Finally, discussion, comparison, and future work are described. This article aims to clarify AI’s present and future state in medical technology to predict heart diseases.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Pabna University of Science and Technology, Pabna, Bangladesh

    Rehnuma Hasnat & Ahmmad Musha

  2. Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia

    Abdullah Al Mamun

  3. Department of Computer Science, Wayne State University, Detroit, MI, USA

    Anik Tahabilder

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  1. Rehnuma Hasnat
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  2. Abdullah Al Mamun
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  3. Ahmmad Musha
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  4. Anik Tahabilder
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Correspondence to Anik Tahabilder .

Editor information

Editors and Affiliations

  1. Noakhali Science and Technology University, Noakhali, Bangladesh

    Md. Shahriare Satu

  2. The University of Queensland, St. Lucia, QLD, Australia

    Mohammad Ali Moni

  3. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  4. Daffodil International University, Dhaka, Bangladesh

    Mohammad Shamsul Arefin

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Hasnat, R., Al Mamun, A., Musha, A., Tahabilder, A. (2023). A Review on Heart Diseases Prediction Using Artificial Intelligence. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer, Cham. https://doi.org/10.1007/978-3-031-34622-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-34622-4_4

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