Detecting Depression Using K-Nearest Neighbors (KNN) Classification Technique-Reference-Cited by-同舟云学术

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Detecting Depression Using K-Nearest Neighbors (KNN) Classification Technique

Published:2018-02 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2)
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Author:

Islam Md Rafiqul,Kamal Abu Raihan M.,Sultana Naznin,Islam Robiul,Moni Mohammad Ali,ulhaq Anwaar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8433310/8465481/08465641.pdf?arnumber=8465641

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection;Big Data and Cognitive Computing;2024-09-05

2. BERT-based RNN for Effective Detection of Depression with Severity Levels from Text Data;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20

3. The use of machine learning and deep learning models in detecting depression on social media: A systematic literature review;Personalized Medicine in Psychiatry;2024-07

4. MindWave app: Leveraging AI for Mental Health Support in English and Arabic;2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC);2024-05-21

5. An ensemble approach to detect depression from social media platform: E-CLS;Multimedia Tools and Applications;2024-02-06

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