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Minhui Dai

Biographic Data

ID7978057
NAMEMinhui Dai
GIVEN NAMESMinhui
FAMILY NAMEDai
SIGNATUREDAI M
AFFILIATIONSJishou University
ORCID0000-0001-5026-8716
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The bridge between anxiety and insomnia symptoms among Chinese adults before and after Sars-CoV-2 vaccination

    Open Access•Yan Liu, Shangyu Luo et al.•ARTICLE•Frontiers in Psychiatry•2025

    The proportion of participants experiencing anxiety and insomnia decreased significantly after SARS-CoV-2 vaccination. Network analysis identified psychosis-related symptoms as key links between anxiety and insomnia. These findings suggest that targeted interventions focusing on daytime emotional regulation could improve mental health outcomes, guiding healthcare practices during public health crises

  • The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes

    Open Access•Yi Zhou, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2023

  • Intelligent automatic sleep staging model based on CNN and LSTM

    Open Access•Lan Zhuang, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy, sleep electroencephalogram automatic staging methods play important role in the treatment and diagnosis of sleep disorders. Due to the characteristics of weak signals, EEG needs accurate and efficient algorithms to extract feature information before applying it in the sleep stages. Conventional feature extraction methods have low efficiency and are difficult…

No prominent works on this page.

  • Intelligent automatic sleep staging model based on CNN and LSTM

    Open Access•Lan Zhuang, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2022

    Since electroencephalogram (EEG) is a significant basis to treat and diagnose somnipathy, sleep electroencephalogram automatic staging methods play important role in the treatment and diagnosis of sleep disorders. Due to the characteristics of weak signals, EEG needs accurate and efficient algorithms to extract feature information before applying it in the sleep stages. Conventional feature extraction methods have low efficiency and are difficult…

  • The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes

    Open Access•Yi Zhou, Minhui Dai et al.•ARTICLE•Frontiers in Public Health•2023

  • The bridge between anxiety and insomnia symptoms among Chinese adults before and after Sars-CoV-2 vaccination

    Open Access•Yan Liu, Shangyu Luo et al.•ARTICLE•Frontiers in Psychiatry•2025

    The proportion of participants experiencing anxiety and insomnia decreased significantly after SARS-CoV-2 vaccination. Network analysis identified psychosis-related symptoms as key links between anxiety and insomnia. These findings suggest that targeted interventions focusing on daytime emotional regulation could improve mental health outcomes, guiding healthcare practices during public health crises

Medicine (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · COVID-19 and Mental Health (1 work) · Cross-sectional study (1 work) · Data pre-processing (1 work)

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