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Susan Shur-Fen Gau

Dados Biográficos

ID5222693
NOMESusan Shur-Fen Gau
PRENOMESSusan Shur-Fen
SOBRENOMEGau
ASSINATURAGAU S S
VERIFICADONão
TOTAL DE OBRAS7
TOTAL DE CITAÇÕES6
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2010
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H1
  • Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms

    Open Access•Ping-I Lin, Mohammad Ali Moni et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objectives: The identification of subgroups of autism spectrum disorder (ASD) may partially remedy the problems of clinical heterogeneity to facilitate the improvement of clinical management. The current study aims to use machine learning algorithms to analyze microarray data to identify clusters with relatively homogeneous clinical features. Methods: The whole-genome gene expression microarray data were used to predict communication quotient (SC…

  • A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder

    Open Access•Chung-Yuan Cheng, Wan-Ling Tseng et al.•ARTICLE•Frontiers in Psychiatry•2020

    A variety of tools and methods have been used to measure behavioral symptoms of attention-deficit/hyperactivity disorder (ADHD). Missing data is a major concern in ADHD behavioral studies. This study used a deep learning method to impute missing data in ADHD rating scales and evaluated the ability of the imputed dataset (i.e., the imputed data replacing the original missing values) to distinguish youths with ADHD from youths without ADHD. The dat…

  • Potential Negative Effects of Dextromethorphan as an Add-On Therapy to Methylphenidate in Children With ADHD

    Open Access•Wei-Chen Chuang, Chin-Bin Yeh et al.•ARTICLE•Frontiers in Psychiatry•2019

    Objectives: Methylphenidate (MPH) is highly effective in controlling the symptoms of attention-deficit/hyperactivity disorder (ADHD), but some children with ADHD either do not respond to, or do not tolerate, treatment. Dextromethorphan (DM) is a neuroprotective agent which has been used in the treatment of neuropsychiatric disorders. This clinical trial had examined the effect of DM on the use of MPH in the children with ADHD. Methods: This rando…

  • Measures of Heart Rate Variability in Individuals With Somatic Symptom Disorder

    Wei‐Lieh Huang, Shih‐Cheng Liao et al.•ARTICLE•Psychosomatic Medicine•2017

    OBJECTIVE: Little is known about autonomic nervous system activity in individuals with somatic symptom disorder (SSD) as defined by DSM-V criteria. The aims of this study were to investigate whether individuals with SSD differ from healthy controls in heart rate variability (HRV) measures of autonomic nervous system activity and whether sex has a moderating effect on this association. METHODS: We recruited 168 individuals with SSD (35.1% men) and…

  • Influence of Disruptive Behavior Disorders on Academic Performance and School Functions of Youths with Attention-Deficit/Hyperactivity Disorder

    Open Access•Chao-Yu Liu, Wei-Lieh Huang et al.•ARTICLE•Child Psychiatry & Human…•2017

  • Social Adjustment Among Taiwanese Children with Symptoms of ADHD, ODD, and ADHD Comorbid with ODD

    Open Access•Wan-Ling Tseng, Yoshito Kawabata et al.•ARTICLE•Child Psychiatry & Human…•2010

  • Correlates of Gender Dysphoria in Taiwanese University Students

    Open Access•Meng-Chuan Lai, Yen-Nan Chiu et al.•ARTICLE•Archives of Sexual Behavior•2010•Citada por: 6•Referências: 50

  • Correlates of Gender Dysphoria in Taiwanese University Students

    Open Access•Meng-Chuan Lai, Yen-Nan Chiu et al.•ARTICLE•Archives of Sexual Behavior•2010•Citada por: 6•Referências: 50

  • Social Adjustment Among Taiwanese Children with Symptoms of ADHD, ODD, and ADHD Comorbid with ODD

    Open Access•Wan-Ling Tseng, Yoshito Kawabata et al.•ARTICLE•Child Psychiatry & Human…•2010

  • Correlates of Gender Dysphoria in Taiwanese University Students

    Open Access•Meng-Chuan Lai, Yen-Nan Chiu et al.•ARTICLE•Archives of Sexual Behavior•2010•Citada por: 6•Referências: 50

  • Measures of Heart Rate Variability in Individuals With Somatic Symptom Disorder

    Wei‐Lieh Huang, Shih‐Cheng Liao et al.•ARTICLE•Psychosomatic Medicine•2017

    OBJECTIVE: Little is known about autonomic nervous system activity in individuals with somatic symptom disorder (SSD) as defined by DSM-V criteria. The aims of this study were to investigate whether individuals with SSD differ from healthy controls in heart rate variability (HRV) measures of autonomic nervous system activity and whether sex has a moderating effect on this association. METHODS: We recruited 168 individuals with SSD (35.1% men) and…

  • Influence of Disruptive Behavior Disorders on Academic Performance and School Functions of Youths with Attention-Deficit/Hyperactivity Disorder

    Open Access•Chao-Yu Liu, Wei-Lieh Huang et al.•ARTICLE•Child Psychiatry & Human…•2017

  • Potential Negative Effects of Dextromethorphan as an Add-On Therapy to Methylphenidate in Children With ADHD

    Open Access•Wei-Chen Chuang, Chin-Bin Yeh et al.•ARTICLE•Frontiers in Psychiatry•2019

    Objectives: Methylphenidate (MPH) is highly effective in controlling the symptoms of attention-deficit/hyperactivity disorder (ADHD), but some children with ADHD either do not respond to, or do not tolerate, treatment. Dextromethorphan (DM) is a neuroprotective agent which has been used in the treatment of neuropsychiatric disorders. This clinical trial had examined the effect of DM on the use of MPH in the children with ADHD. Methods: This rando…

  • A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder

    Open Access•Chung-Yuan Cheng, Wan-Ling Tseng et al.•ARTICLE•Frontiers in Psychiatry•2020

    A variety of tools and methods have been used to measure behavioral symptoms of attention-deficit/hyperactivity disorder (ADHD). Missing data is a major concern in ADHD behavioral studies. This study used a deep learning method to impute missing data in ADHD rating scales and evaluated the ability of the imputed dataset (i.e., the imputed data replacing the original missing values) to distinguish youths with ADHD from youths without ADHD. The dat…

  • Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms

    Open Access•Ping-I Lin, Mohammad Ali Moni et al.•ARTICLE•Frontiers in Psychiatry•2021

    Objectives: The identification of subgroups of autism spectrum disorder (ASD) may partially remedy the problems of clinical heterogeneity to facilitate the improvement of clinical management. The current study aims to use machine learning algorithms to analyze microarray data to identify clusters with relatively homogeneous clinical features. Methods: The whole-genome gene expression microarray data were used to predict communication quotient (SC…

Clinical Psychology (6 obras) · Psychiatry (6 obras) · Psychology (6 obras) · Attention Deficit Hyperactivity Disorder (4 obras) · Clinical Psychology (4 obras) · Medicine (4 obras) · Autism Spectrum Disorder Research (3 obras) · Developmental psychology (3 obras) · Anxiety (2 obras) · Child and Adolescent Psychosocial and Emotional Development (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae