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Application of ID3 Algorithm in Mental Health

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 98 ))

Abstract

Decision tree is a very popular data mining method. This paper introduces the theory of decision tree, analyzes the structure of decision tree, and discusses the idea of C5.0 algorithm and its advantages and disadvantages. At the same time, in order to deeply understand the main psychological symptoms and factors affecting college students’ mental health, C5.0 algorithm is applied to college students’ mental health evaluation data. According to the mining results, students’ mental health problems can be more deeply understood, It is of practical significance to carry out mental health education for college students.

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References

  1. Zhou, Y., Wang, S.: Medical Data Mining: A Case Study of SQL Server 2005. China Railway Publishing House, Beijing (2008)

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  2. Xiong, S., Nie, L.: Decision tree construction of student achievement analysis based on C5.0 algorithm. Sci. Tech. Inf. (8), 24–25 (2010)

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  3. Qi, W., Yan, J., Guo, L., Lu, R., Huang, S.: Application of association rules mining in college students’ mental health evaluation system. J. Hunan Univ. Technol. 11, 94–99 (2013)

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  4. Wu, X., Zhou, P., Peng, W.H.: Application of decision tree algorithm in college students’ mental health evaluation. Comput. Appl. Softw. 201(10), 240–244 (2015)

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Author information

Authors and Affiliations

  1. Hubei College of Chinese Medicine, Hubei, 434020, China

    Yanan Li

Authors
  1. Yanan Li
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Editor information

Editors and Affiliations

  1. University of Sunderland, Sunderland, UK

    John Macintyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, China

    Xiaomeng Ma

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Li, Y. (2022). Application of ID3 Algorithm in Mental Health. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_138

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