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Predicting Suicidal Behavior Due to COVID-19

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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

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