Cargando…

Investigation of factors associated with mental health during the early part of the COVID-19 pandemic in South Korea based on machine learning algorithms: A cohort study

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic is among the most critical public health problems worldwide in the last three years. We tried to investigate changes in factors between pre- and early stages of the COVID-19 pandemic. METHODS: The data of 457,309 participants from the 2019...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Junggu, Han, Sanghoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2023
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605707/ https://www.ncbi.nlm.nih.gov/pubmed/37900256 http://dx.doi.org/10.1177/20552076231207573

Ejemplares similares

Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007–2019)
por: Choi, Junggu, et al.
Publicado: (2021)

Validation of depression determinants in caregivers of dementia patients with machine learning algorithms and statistical model
por: Cho, Kangrim, et al.
Publicado: (2023)

Validation of the influence of biosignals on performance of machine learning algorithms for sleep stage classification
por: Choi, Junggu, et al.
Publicado: (2023)

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
por: Tien Bui, Dieu, et al.
Publicado: (2018)

Early detection of norovirus outbreak using machine learning methods in South Korea
por: Lee, Sieun, et al.
Publicado: (2022)

Review of Machine Learning Algorithms for Diagnosing Mental Illness
por: Cho, Gyeongcheol, et al.
Publicado: (2019)

EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction
por: Jung, Dawoon, et al.
Publicado: (2022)

Social distancing policy and mental health during COVID-19 pandemic: an 18-month longitudinal cohort study in South Korea
por: Bahk, Yong-Chun, et al.
Publicado: (2023)

Detecting early safety signals of infliximab using machine learning algorithms in the Korea adverse event reporting system
por: Lee, Jeong-Eun, et al.
Publicado: (2022)

Mental healthcare in South Korea
por: Suh, Guk-Hee
Publicado: (2005)

Promoting Mental Health Literacy at Schools in South Korea
por: Choi, Jeewook
Publicado: (2023)

Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms
por: Park, You-Hyun, et al.
Publicado: (2021)

COVID-19 Pandemic-Related Job Loss Impacts on Mental Health in South Korea
por: Han, Kyu-Man, et al.
Publicado: (2023)

Investigation of machine learning algorithms for taxonomic classification of marine metagenomes
por: Park, Helen, et al.
Publicado: (2023)

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study
por: Jang, Jong-Hwan, et al.
Publicado: (2020)

Identification and comparison of pandemic-to-symptom networks of South Korea and the United States
por: Park, Mijeong, et al.
Publicado: (2023)

Factors associated with mental health consultation in South Korea
por: Jang, Jieun, et al.
Publicado: (2018)

Early Prediction of Sepsis Based on Machine Learning Algorithm
por: Zhao, Xin, et al.
Publicado: (2021)

Incidence of Guillain–Barré syndrome in South Korea during the early COVID-19 pandemic
por: Choi, Sun Ah, et al.
Publicado: (2023)

Incidence Rates of Agricultural Machine-Related Injuries in South Korea
por: Kim, Kyungsu, et al.
Publicado: (2022)

Pandemic Nationalism in South Korea
por: Yi, Joseph, et al.
Publicado: (2020)

Machine learning algorithms: popular algorithms for data science and machine learning
por: Bonaccorso, Giuseppe
Publicado: (2018)

Impact of the early phase of the COVID-19 pandemic on the use of mental health services in South Korea: a nationwide, health insurance data-based study
por: Joo, Sung Woo, et al.
Publicado: (2022)

Mental health services and R&D in South Korea
por: Roh, Sungwon, et al.
Publicado: (2016)

Mental health among single and partnered parents in South Korea
por: Kong, Kyoung Ae, et al.
Publicado: (2017)

Machine Learning - Part 1
por: Kagan , Michael
Publicado: (2018)

Machine Learning - Part 2
por: Kagan, Michael
Publicado: (2018)

Machine Learning - Part 4
por: Kazeev, Nikita
Publicado: (2017)

Machine Learning Part 1
por: Gleyzer, Sergei
Publicado: (2017)

Machine Learning - Part 3
por: Kazeev, Nikita
Publicado: (2017)

Machine Learning - Part 1
por: Gleyzer, Sergei
Publicado: (2016)

Machine Learning - Part 2
por: Gleyzer, Sergei
Publicado: (2016)

Machine Learning Part 2
por: Gleyzer, Sergei
Publicado: (2017)

Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms
por: Rinesh, S., et al.
Publicado: (2022)

Corrigendum: Incidence of Guillain-Barré syndrome in South Korea during the early COVID-19 pandemic
por: Choi, Sun Ah, et al.
Publicado: (2023)

Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
por: Chimbunde, Emmanuel, et al.
Publicado: (2023)

Deterioration of mental health despite successful control of the COVID-19 pandemic in South Korea.
por: Lee, Hyeon-Seung, et al.
Publicado: (2021)

Data on winter daily minimum temperature and heat energy consumption in South Korea
por: Kim, Yunsoung, et al.
Publicado: (2020)

Prevalence of mental illness among COVID-19 survivors in South Korea: nationwide cohort
por: Park, Hye Yoon, et al.
Publicado: (2021)

Learning from past pandemic governance: Early response and Public-Private Partnerships in testing of COVID-19 in South Korea
por: Park, June, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_8dv5qej7ja5rdsv12e5p4us1nl