International Journal of Advance Computational Engineering and Networking (IJACEN)
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Volume-12,Issue-9  ( Sep, 2024 )
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Statistics report
Feb. 2025
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 141
Paper Published : 1672
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  Journal Paper


Paper Title :
Understanding Various Machine Learning and Deep Learning Algorithms for Depression Detection

Author :Rekha K. Sahare, Kunal J. Joshi

Article Citation :Rekha K. Sahare ,Kunal J. Joshi , (2024 ) " Understanding Various Machine Learning and Deep Learning Algorithms for Depression Detection " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 31-33, Volume-12,Issue-9

Abstract : This paper presents working of various Machine Learning and Deep Learning Algorithms used in medical field for depression detection . This paper also shows the advantages limitations and most efficient algorithm for depression detection. From last decade, artificial intelligence have a huge impact on health care industries for each and every disease detection. This paper explains how disease prediction methods using machine learning and deep learning algorithms helps health care professional to assist their daily routine work. The working of these algorithms for depression detection using various data sets available has been explained here. Keywords - Machine Learning, Deep Learning, Depression, SVM, RNN, CNN, BERT, LSTM

Type : Research paper

Published : Volume-12,Issue-9


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21244   View Here

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