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Impact of Covid-19 on Bangladeshi university students mental health: ML and DL analysis

Atique, M. M. A. B.; Bappi, M. I.; Kim, K.; Choi, K.; Ahamad, M. M.; Reza, K. M.

2024-05-17 public and global health
10.1101/2024.05.17.24307476 medRxiv
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Withdrawal StatementThe authors have withdrawn this manuscript because they have identified a new and more promising direction for this research. As the current version no longer reflects the intended scope and findings of our ongoing study, we have decided not to share this work further. Therefore, the authors do not wish this work to be cited as a reference for the project. If you have any questions, please contact the corresponding author.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
JMIRx Med
◐ 32 papers in training set
Top 0.1%
15.0%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 12%
15.0%
Similar papers in this journal
3
PLOS Digital Health
● 106 papers in training set
Top 1.0%
6.7%
Similar papers in this journal
4
Journal of Medical Internet Research
◐ 87 papers in training set
Top 0.4%
5.5%
Similar papers in this journal
5
Frontiers in Public Health
○ 148 papers in training set
Top 1.0%
4.8%
Similar papers in this journal
6
Heliyon
○ 152 papers in training set
Top 0.7%
4.4%
50% of probability mass above
7
JMIR Formative Research
◐ 33 papers in training set
Top 0.3%
4.4%
8
Scientific Reports
○ 3612 papers in training set
Top 32%
3.2%
9
Expert Systems with Applications
○ 11 papers in training set
Top 0.1%
3.2%
10
International Journal of Environmental Research and Public Health
○ 128 papers in training set
Top 2%
2.4%
11
Computers in Biology and Medicine
○ 128 papers in training set
Top 2%
2.4%
12
PLOS Global Public Health
● 344 papers in training set
Top 5%
2.4%
13
JMIR Public Health and Surveillance
◐ 45 papers in training set
Top 0.4%
2.1%
14
BioMed Research International
○ 28 papers in training set
Top 0.7%
2.1%
15
Biomedical Signal Processing and Control
○ 22 papers in training set
Top 0.3%
1.7%
16
Frontiers in Psychology
○ 56 papers in training set
Top 0.8%
1.5%
17
IEEE Access
● 35 papers in training set
Top 0.7%
1.5%
18
Frontiers in Psychiatry
○ 87 papers in training set
Top 1%
1.5%
19
Cureus
○ 68 papers in training set
Top 3%
1.3%
20
DIGITAL HEALTH
○ 17 papers in training set
Top 0.6%
1.0%
21
Sustainability
○ 10 papers in training set
Top 0.4%
0.9%
22
Journal of Public Health
◐ 24 papers in training set
Top 1%
0.8%
23
Frontiers in Digital Health
○ 24 papers in training set
Top 1%
0.8%
24
Computer Methods and Programs in Biomedicine
○ 28 papers in training set
Top 1%
0.8%
25
Biology Methods and Protocols
◐ 61 papers in training set
Top 2%
0.8%
26
Applied Sciences
○ 25 papers in training set
Top 1%
0.6%
27
Life
○ 29 papers in training set
Top 1%
0.6%
28
BMC Public Health
○ 158 papers in training set
Top 6%
0.6%
29
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.9%
0.6%
30
International Journal of Medical Informatics
○ 26 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.