Research on school social work methodology based on predictive control and architectural innovations

Publié en ligne: 01 avr. 2024

Reçu: 24 janv. 2024

Accepté: 29 janv. 2024

DOI: https://doi.org/10.2478/amns-2024-0720

Mots clés

School social work innovation, Mental health prediction model, XGBoost algorithm, Support vector machine, Influence factor analysis

© 2024 Wei Ni, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.