Machine learning based model for detecting depression during Covid-19 crisis-Reference-Cited by-同舟云学术

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Machine learning based model for detecting depression during Covid-19 crisis

Published:2023-07 Issue: Volume:20 Page:e01716
ISSN:2468-2276
Container-title:Scientific African
language:en
Short-container-title:Scientific African

Author:

Sofia ,Malik Arun,Shabaz Mohammad,Asenso Evans

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference51 articles.

1. Epidemic of COVID-19 in China and associated psychological problems;Ahmed;Asian J. Psychiatr.,2020

2. Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals;Shabbir;J. Exp. Theor. Artif. Intell.,2022

3. Shabaz, M., Yasmeen, S.W., & Shree, B. (2019). A Review on Sentimental Classification using Mixed-Gram Model

4. Gastrointestinal Complications of COVID-19 Vaccines;Ajmera;Cureus,2022

5. How can we learn from our mistakes during COVID-19? Circular economy in India through Biogas economics;Ray;Econ. Environ.,2021

Cited by 3 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. Early Risk Prediction of Depression Based on Social Media Posts in Arabic;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

2. Emotional Responses to Religious Conversion: Insights from Machine Learning;Islamic Guidance and Counseling Journal;2023-10-10

3. Depresión por COVID-19 en estudiantes universitarios que viven en una zona vulnerable de Lima Norte;Salud, Ciencia y Tecnología - Serie de Conferencias;2022-09-28

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