dc.contributor.author |
Rakibuzzaman, MD. |
|
dc.date.accessioned |
2022-09-04T05:15:03Z |
|
dc.date.available |
2022-09-04T05:15:03Z |
|
dc.date.issued |
2022-02-20 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8572 |
|
dc.description.abstract |
Covid-19 has been a major worry over the world in recent years. At the time of this epidemic,
psychological problems as well as suicidal issues are being noticed among the people. The main research
of this paper will be mainly on the prediction purpose of Suicidal Behavior. Most of them are young and
the age range is 18-35 years. This research is based on the data of “Achol Foundation” which contains
2077 columns and 30 features. Using the Deep Learning Concept- Artificial Neural Network model used
to predict the suicidal behavior of a single person. For this research, the parameters have been tuned by
cleaning the data from complete data through data analysis. Data cleaning has been done through Excel
and Python libraries and modeling has been done at Matlab. Using the ANN model, the accuracy score is
79.42% which has been able to give a really good result. In the future, steps may be taken to arrange
online consultancy based on this prediction of who is going to attempt suicide. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Suicidal behavior--Treatment |
en_US |
dc.subject |
Suicidal behavior--Risk factors |
en_US |
dc.title |
Predicting Suicidal Behavior Due to COVID-19 |
en_US |
dc.title.alternative |
An ANN Approach |
en_US |
dc.type |
Other |
en_US |