Design of Mental Health Platform for Adolescent Group Based on Random Forest Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2287-1_20
Reference10 articles.
1. Saadoon, Y.A., Abdulamir, R.H.: Improved random forest algorithm performance for big data. J. Phys. Conf. Ser. 1897(1), 012071 (13pp) (2021)
2. Zhang, X., Xu, J., Chen, Y., et al.: Coastal wetland classification with GF-3 polarimetric SAR imagery by using object-oriented random forest algorithm. Sensors 21(10), 3395 (2021)
3. Kim, J.Y., Lee, M., Min, K.L., et al.: Development of random forest algorithm based prediction model of Alzheimer’s disease using neurodegeneration pattern. Psychiatry Invest. 18(1), 69–79 (2021)
4. Ali, M.S., Islam, M.K., Haque, J., et al.: Alzheimer’s disease detection using m-random forest algorithm with optimum features extraction. In: 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA) (2021)
5. Papineni, S., Reddy, A.M., Yarlagadda, S., et al.: An extensive analytical approach on human resources using random forest algorithm. Int. J. Eng. Trends Technol. 69(5), 119–127 (2021)
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