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Qianhui Wen

Biographic Data

ID7744386
NAMEQianhui Wen
GIVEN NAMESQianhui
FAMILY NAMEWen
SIGNATUREWEN Q
AFFILIATIONSSichuan University
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Can machine learning predict non-suicidal self-injury? A systematic review and meta-analysis

    Open Access•Qianhui Wen, Rong Luo et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Non-suicidal self-injury (NSSI) is common among adolescents and young adults and remains difficult to detect early using conventional approaches. machine learning (ML) has increasingly been applied to develop prediction models for NSSI. Methods: We conducted a systematic review and meta-analysis of studies that developed ML models for NSSI prediction, as defined by the original study authors. Multiple databases were searched from ince…

  • Rising trends in the burden of migraine among children and adolescents

    Open Access•Qian Wang, Rong Luo et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Migraine is a leading neurological disorder among children and adolescents. Its high prevalence and risk of chronic progression significantly reduce quality of life and are linked to mental health issues and learning difficulties. Despite available diagnostic standards and treatments, global challenges remain, including underdiagnosis and unequal healthcare access, especially in developing countries where health systems are unprepared…

  • Neural markers of methylphenidate response in children with attention deficit hyperactivity disorder and the impact on executive function

    Open Access•Anqi Wang, Hua Yang et al.•ARTICLE•Frontiers in Psychiatry•2025

    The normalization of P300 latency following MPH treatment appears to be a reliable neural biomarker of positive treatment response in children with ADHD. MPH was associated with improvements in executive function, particularly in inhibitory control and working memory

  • The association between epilepsy and sleep disturbance in US adults

    Open Access•Qianhui Wen, Qian Wang et al.•ARTICLE•BMC Public Health•2024

    Our study utilizing NHANES data confirmed that depression partially mediated the association between epilepsy and sleep disturbance. Additionally, we observed differences in this association across demographic groups. Addressing depressive symptoms in PWE may improve their sleep quality, but further research is needed to explore the underlying mechanisms

No prominent works on this page.

  • The association between epilepsy and sleep disturbance in US adults

    Open Access•Qianhui Wen, Qian Wang et al.•ARTICLE•BMC Public Health•2024

    Our study utilizing NHANES data confirmed that depression partially mediated the association between epilepsy and sleep disturbance. Additionally, we observed differences in this association across demographic groups. Addressing depressive symptoms in PWE may improve their sleep quality, but further research is needed to explore the underlying mechanisms

  • Rising trends in the burden of migraine among children and adolescents

    Open Access•Qian Wang, Rong Luo et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Migraine is a leading neurological disorder among children and adolescents. Its high prevalence and risk of chronic progression significantly reduce quality of life and are linked to mental health issues and learning difficulties. Despite available diagnostic standards and treatments, global challenges remain, including underdiagnosis and unequal healthcare access, especially in developing countries where health systems are unprepared…

  • Neural markers of methylphenidate response in children with attention deficit hyperactivity disorder and the impact on executive function

    Open Access•Anqi Wang, Hua Yang et al.•ARTICLE•Frontiers in Psychiatry•2025

    The normalization of P300 latency following MPH treatment appears to be a reliable neural biomarker of positive treatment response in children with ADHD. MPH was associated with improvements in executive function, particularly in inhibitory control and working memory

  • Can machine learning predict non-suicidal self-injury? A systematic review and meta-analysis

    Open Access•Qianhui Wen, Rong Luo et al.•ARTICLE•Frontiers in Public Health•2026

    Background: Non-suicidal self-injury (NSSI) is common among adolescents and young adults and remains difficult to detect early using conventional approaches. machine learning (ML) has increasingly been applied to develop prediction models for NSSI. Methods: We conducted a systematic review and meta-analysis of studies that developed ML models for NSSI prediction, as defined by the original study authors. Multiple databases were searched from ince…

Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Association (psychology (1 work) · Attention Deficit Hyperactivity Disorder (1 work) · Audiology (1 work) · Biomarker (1 work) · Biostatistics (1 work) · Bivariate analysis (1 work) · Breastfeeding Practices and Influences (1 work)

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