**5. Conclusions**

COVID-19 affects every field of life, the educational sector all over the world faces different issues. During the lockdown, students face a lot of issues, whereas health issue becomes the main issue. Results presented in the proposed approach identifies the main factors affecting the health of students during the lockdown. Results show that the health of students affects the factors that how they utilized their time during the lockdown in COVID-19, whereas weight and family concerns also appear as factors affecting the health of students during a lockdown of COVID-19. Henceforth, there is a need to take proactive measures to discover the approaches to sustain the health of students, either by guiding them in health time utilization activities or by counseling them about family matters. These well-timed taken measures may reduce the health issues in students caused by pandemic situation in COVID-19. Moreover, reported results in this paper 'show that neural network outperforms and shows 90% accuracy on the proposed approach as compared to GBDT, RF, and SVM.

**Author Contributions:** M.Z., A.S. (Alqahtani Saeed), M.A.A. and K.S.Q. performed data curation, methodology, visualization, software, investigation, simulations, analysis, and writing the manuscript. A.S. (Abdullah Shahrose), M.I., A.K.A., S.K.A., Z.A., M.A.H., A.A. and F.A. were responsible for conceptualization, editing, investigation, resource management, project management, analysis, comparisons, and visualization. All authors have read and agreed to the published version of the manuscript.

**Funding:** The authors would like to express their gratitude to the Ministry of Education and the Deanship of Scientific Research, Najran University, Kingdom of Saudi Arabia, for their financial and technical support under code number NU/MID/18/031.

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Acknowledgments:** The authors would like to express their gratitude to the Ministry of Education and the Deanship of Scientific Research, Najran University. Kingdom of Saudi Arabia, for their financial and technical support under code number NU/MID/18/031.

**Conflicts of Interest:** The authors declare no conflict of interest.
