Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise / L. L. CORONA in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Titre : Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise Type de document : Texte imprimé et/ou numérique Auteurs : L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.4003-4012 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454 [article] Toward Novel Tools for Autism Identification: Fusing Computational and Clinical Expertise [Texte imprimé et/ou numérique] / L. L. CORONA, Auteur ; L. WAGNER, Auteur ; J. WADE, Auteur ; Amy S. WEITLAUF, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; A. VEHORN, Auteur ; Zachary WARREN, Auteur . - p.4003-4012. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.4003-4012 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Child, Preschool  Humans  Mass Screening  Outcome Assessment, Health Care  Assessment  Autism spectrum disorder  Machine learning  Young children  has served as a Consultant for Adaptive Technology Consulting and Roche. Dr.  Weitlauf has served as a Consultant for Adaptive Technology Consulting. Index. décimale : PER Périodiques Résumé : Barriers to identifying autism spectrum disorder (ASD) in young children in a timely manner have led to calls for novel screening and assessment strategies. Combining computational methods with clinical expertise presents an opportunity for identifying patterns within large clinical datasets that can inform new assessment paradigms. The present study describes an analytic approach used to identify key features predictive of ASD in young children, drawn from large amounts of data from comprehensive diagnostic evaluations. A team of expert clinicians used these predictive features to design a set of assessment activities allowing for observation of these core behaviors. The resulting brief assessment underlies several novel approaches to the identification of ASD that are the focus of ongoing research. En ligne : http://dx.doi.org/10.1007/s10803-020-04857-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454

Use of the TELE-ASD-PEDS for Autism Evaluations in Response to COVID-19: Preliminary Outcomes and Clinician Acceptability / L. WAGNER in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3063-3072 Titre : Use of the TELE-ASD-PEDS for Autism Evaluations in Response to COVID-19: Preliminary Outcomes and Clinician Acceptability Type de document : Texte imprimé et/ou numérique Auteurs : L. WAGNER, Auteur ; L. L. CORONA, Auteur ; Amy S. WEITLAUF, Auteur ; K. L. MARSH, Auteur ; A. F. BERMAN, Auteur ; Neill A. BRODERICK, Auteur ; S. FRANCIS, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; Zachary WARREN, Auteur Article en page(s) : p.3063-3072 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis/epidemiology  Autistic Disorder  Covid-19  Child  Child, Preschool  Humans  Pandemics  SARS-CoV-2  Assessment  Autism spectrum disorder  Telemedicine  Young children  Stone, and Zachary Warren are all co-authors of the TELE-ASD-PEDS. They do not  receive compensation for the use of this instrument. Index. décimale : PER Périodiques Résumé : The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic. We present preliminary data on the outcomes and provider perceptions of tele-assessments, together with several lessons learned during the period of initial implementation. En ligne : http://dx.doi.org/10.1007/s10803-020-04767-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Use of the TELE-ASD-PEDS for Autism Evaluations in Response to COVID-19: Preliminary Outcomes and Clinician Acceptability [Texte imprimé et/ou numérique] / L. WAGNER, Auteur ; L. L. CORONA, Auteur ; Amy S. WEITLAUF, Auteur ; K. L. MARSH, Auteur ; A. F. BERMAN, Auteur ; Neill A. BRODERICK, Auteur ; S. FRANCIS, Auteur ; J. HINE, Auteur ; A. NICHOLSON, Auteur ; C. STONE, Auteur ; Zachary WARREN, Auteur . - p.3063-3072. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3063-3072 Mots-clés : Autism Spectrum Disorder/diagnosis/epidemiology  Autistic Disorder  Covid-19  Child  Child, Preschool  Humans  Pandemics  SARS-CoV-2  Assessment  Autism spectrum disorder  Telemedicine  Young children  Stone, and Zachary Warren are all co-authors of the TELE-ASD-PEDS. They do not  receive compensation for the use of this instrument. Index. décimale : PER Périodiques Résumé : The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic. We present preliminary data on the outcomes and provider perceptions of tele-assessments, together with several lessons learned during the period of initial implementation. En ligne : http://dx.doi.org/10.1007/s10803-020-04767-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

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