Ensemble Learning to Identify Depression Indicators for Korean Farmers-Reference-Cited by-同舟云学术

Ensemble Learning to Identify Depression Indicators for Korean Farmers

Published:2023 Issue: Volume:11 Page:118787-118800
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Park Jinwoo¹,Ahn Hongryul²^ORCID,Youn Kanwoo²,Lee Minji³,Hong Seunghyeok¹^ORCID

Affiliation:

1. Division of Data Science, The University of Suwon, Hwaseong-si, South Korea

2. Wonjin Institute for Occupational and Environmental Health, Green Hospital, Jungnang-gu, South Korea

3. National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, South Korea

Funder

National Academy of Agricultural Sciences through the Research and Development Project for the Development of Safety Management Technology at the Agricultural and Livestock Production Sites

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10292831.pdf?arnumber=10292831

Reference45 articles.

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3. Behavioral Modeling for Mental Health using Machine Learning Algorithms

4. Quality of Sleep, Sleep Duration and Depressive State

5. Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms

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