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
Copyright: © Institute of Research and Journals
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Published on 2025-01-08 |
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