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Prediction of Depression during Covid-19 in China, ARINA ZAFIRA BINTI…
Prediction of Depression during Covid-19 in China
Select Relevant Documents
Machine learning prediction models for depression symptoms among Chinese health care workers during the COVID-19 outbreak (
https://preprints.jmir.org/preprint/36814
)
Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study (
https://doi.org/10.3389/fpsyt.2022.876995
)
Depression and Anxiety in Hong Kong during COVID-19 (
https://www.mdpi.com/1660-4601/17/10/3740
)
Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19 (
https://doi.org/10.1007/s00787-020-01541-4
)
Keyword:
Mental Health Issue
Machine learning
Covid-19
Project Objectives
RO2: To Compare the Performance of Machine Learning Techniques Used to Predict Depression in China During Covid-19 Pandemic
RO3: To Evaluate the Results of Machine Learning Techniques Used to Predict Depression in China During Covid-19 Pandemic
RO1 : To Predict Depression Problem in China During Covid-19 Pandemic
Collect & Extract Document
Keyword 2: Depression
Keyword 3: Machine learning
Keyword 1: Covid-19
Project Title : Prediction of Depression during Covid-19 Pandemic in China
Project Research Questions
RQ2: What is the methodology to compare of machine learning techniques to predict depression in China During pandemic Covid-19
RQ3: What is the most effective methodology to predict the depression in China during Covid-19 pandemic
RQ1: What is the symptom of depression among China citizen during Covid-19 pandemic
ARINA ZAFIRA BINTI AMRAN A19EC0024
NURUL LIYANA BINTI MOHD YUSOF A19EC0144
NURUL HAZLEEN NATASYA BINTI YUSNI A19EC0143