Prediction of Depression in Young Adults Using Supervised Learning Algorithm-Reference-Cited by-同舟云学术

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Prediction of Depression in Young Adults Using Supervised Learning Algorithm

Published:2021 Issue: Volume: Page:446-460
ISSN:2367-3370
Container-title:Data Science and Security
language:
Short-container-title:

Author:

Chakraborty Anushree,Shukla Samiksha

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4486-3_50

Reference12 articles.

1. Hubbard K, Reohr P, Tolcher L, Downs A (2018) Stress, mental health symptoms, and help-seeking in college students. Psi Chi J Psychol Res 23(4):293–305 ISSN 2325-7342

2. Villatte A, Marcotte D, Potvin A (2017) Correlates of depression in first-year college students. Can J High Educ Revue canadienne d’enseignement supérieur 47(1):114–136

3. Mohd N, Yahya Y (2018) A data mining approach for prediction of students’ depression using logistic regression and artificial neural network. In: Proceeding of IMCOM 2018, Langkawi, Malaysia, 5–7 January 2018

4. Ebert DD, Buntrock C, Mortier P, Auerbach R, Weisel KK, Kessler RC, Cuijpers P, Green JG, Kiekens G, Nock MK, Demyttenaere K, Bruffaerts R (2018) Prediction of major depressive disorder onset in college students. Depression Anxiety 36(4):294–304

5. Camdeviren HA, Yazici AC, Akkus Z, Bugdayci R, Sungur MA (2007) Comparison of logistic regression model and classification tree: an application to postpartum depression data. Expert Syst Appl 32(4):987–994

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Model for Depression Prediction during COVID-19 Pandemic;2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2022-04-23

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