Detecting Spinal Abnormalities Using Multilayer Perceptron Algorithm-Reference-Cited by-同舟云学术

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Detecting Spinal Abnormalities Using Multilayer Perceptron Algorithm

Published:2022 Issue: Volume: Page:654-664
ISSN:2367-3370
Container-title:Innovations in Bio-Inspired Computing and Applications
language:
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Author:

Begum Arju Manara,Mondal M. Rubaiyat Hossain,Podder Prajoy,Bharati Subrato

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96299-9_62

Reference26 articles.

1. Bhatt, M., Dahiya, V., Singh, A.K.: A comparative analysis of classification methods for diagnosis of Lower Back Pain. Oriental J. Comput. Sci. Technol. 11(2), 135–139 (2018)

2. Abdullah, A.A., Yaakob, A., Ibrahim, Z.: Prediction of spinal abnormalities using machine learning techniques. In: 2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA), pp. 1–6. IEEE (2018)

3. Raihan-Al-Masud, M., Mondal, M.R.H.: Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms. PLoS ONE 15(2), e0228422 (2020). https://doi.org/10.1371/journal.pone.0228422

4. Ganesan, M., Sivakumar, N.: IoT based heart disease prediction and diagnosis model for healthcare using machine learning models. In: 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1–5. IEEE (2019)

5. Ed-daoudy, A., Maalmi, K.: A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment. J. Big Data 6(1), 1–25 (2019)

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