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Disease analysis using machine learning approaches in healthcare system

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A Correction to this article was published on 11 August 2022

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Abstract

This paper addresses disease analysis using machine learning approaches in healthcare system. Several approaches have been used to identify various disease as their corresponding model, but generic model for detecting disease is a challenging task. Thus, this paper proposed the model for disease detection using machine learning approaches with various methodologies such as support vector machine (SVM), K-nearest neighbours, random forests, artificial neural networks (ANNs), and logistic regression. This paper is also used an evaluation matrix with different parameters for performance analysis. The experimental performance is identified as per proposed model through the evaluation matrix. The outcomes disclose that the ANNs method performed good compare to others based on accuracy (97.94%), precision (96.78%), and F1-score (97.87%), respectively. The correlation approach also determined the number of attributes with very close diagonal values i.e., 100%. The comparative approaches are strongly analysed in experiments for clarity of performance.

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Availability of data and material

Data used in this study are available from the first author upon request.

Code availability

The Programming codes implemented in this study are available from the first author upon request.

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Authors and Affiliations

  1. Department of Information Technology, Vignan’s Foundation for Science, Technology and Research (Deemed to Be University), Guntur, Andhra Pradesh, India

    Hemanta Kumar Bhuyan

  2. Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, 34754, Saudi Arabia

    Vinayakumar Ravi

  3. McKesson Corporation, San Francisco, CA, USA

    Biswajit Brahma

  4. Capital One, Wilmington, Delaware, USA

    Nilayam Kumar Kamila

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  1. Hemanta Kumar Bhuyan
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  2. Vinayakumar Ravi
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  4. Nilayam Kumar Kamila
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Correspondence to Vinayakumar Ravi.

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The original online version of this article was revised: The correct author name is “Biswajit Brahma”.

Appendix

Appendix

Table 10 Twenty sample of data set as [48]
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Fig. 5
figure 5

Only Benign and Malignant class for experiments

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Fig. 6
figure 6

Binary form of class

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Bhuyan, H.K., Ravi, V., Brahma, B. et al. Disease analysis using machine learning approaches in healthcare system. Health Technol. 12, 987–1005 (2022). https://doi.org/10.1007/s12553-022-00687-2

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