Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises / Daniel BONE in Journal of Autism and Developmental Disorders, 45-5 (May 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1121-1136 Titre : Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises Type de document : Texte imprimé et/ou numérique Auteurs : Daniel BONE, Auteur ; Matthew S. GOODWIN, Auteur ; Matthew P. BLACK, Auteur ; Chi-Chun LEE, Auteur ; Kartik AUDHKHASI, Auteur ; Shrikanth NARAYANAN, Auteur Article en page(s) : p.1121-1136 Langues : Anglais (eng) Mots-clés : Autism diagnostic observation schedule  Autism diagnostic interview  Machine learning  Signal processing  Autism  Diagnosis Index. décimale : PER Périodiques Résumé : Machine learning has immense potential to enhance diagnostic and intervention research in the behavioral sciences, and may be especially useful in investigations involving the highly prevalent and heterogeneous syndrome of autism spectrum disorder. However, use of machine learning in the absence of clinical domain expertise can be tenuous and lead to misinformed conclusions. To illustrate this concern, the current paper critically evaluates and attempts to reproduce results from two studies (Wall et al. in Transl Psychiatry 2(4):e100, 2012a; PloS One 7(8), 2012b) that claim to drastically reduce time to diagnose autism using machine learning. Our failure to generate comparable findings to those reported by Wall and colleagues using larger and more balanced data underscores several conceptual and methodological problems associated with these studies. We conclude with proposed best-practices when using machine learning in autism research, and highlight some especially promising areas for collaborative work at the intersection of computational and behavioral science. En ligne : http://dx.doi.org/10.1007/s10803-014-2268-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 [article] Applying Machine Learning to Facilitate Autism Diagnostics: Pitfalls and Promises [Texte imprimé et/ou numérique] / Daniel BONE, Auteur ; Matthew S. GOODWIN, Auteur ; Matthew P. BLACK, Auteur ; Chi-Chun LEE, Auteur ; Kartik AUDHKHASI, Auteur ; Shrikanth NARAYANAN, Auteur . - p.1121-1136. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1121-1136 Mots-clés : Autism diagnostic observation schedule  Autism diagnostic interview  Machine learning  Signal processing  Autism  Diagnosis Index. décimale : PER Périodiques Résumé : Machine learning has immense potential to enhance diagnostic and intervention research in the behavioral sciences, and may be especially useful in investigations involving the highly prevalent and heterogeneous syndrome of autism spectrum disorder. However, use of machine learning in the absence of clinical domain expertise can be tenuous and lead to misinformed conclusions. To illustrate this concern, the current paper critically evaluates and attempts to reproduce results from two studies (Wall et al. in Transl Psychiatry 2(4):e100, 2012a; PloS One 7(8), 2012b) that claim to drastically reduce time to diagnose autism using machine learning. Our failure to generate comparable findings to those reported by Wall and colleagues using larger and more balanced data underscores several conceptual and methodological problems associated with these studies. We conclude with proposed best-practices when using machine learning in autism research, and highlight some especially promising areas for collaborative work at the intersection of computational and behavioral science. En ligne : http://dx.doi.org/10.1007/s10803-014-2268-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259

Behavioral signal processing and autism. Learning from multimodal behavioral signals / Daniel BONE

Public ISBD in Autism imaging and Devices / Manuel F. CASANOVA Titre : Behavioral signal processing and autism. Learning from multimodal behavioral signals Type de document : Texte imprimé et/ou numérique Auteurs : Daniel BONE, Auteur ; Theodora CHASPARI, Auteur ; Shrikanth NARAYANAN, Auteur Importance : p.319-344 Langues : Anglais (eng) Index. décimale : SCI-D SCI-D - Neurosciences Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=382 in Autism imaging and Devices / Manuel F. CASANOVA Behavioral signal processing and autism. Learning from multimodal behavioral signals [Texte imprimé et/ou numérique] / Daniel BONE, Auteur ; Theodora CHASPARI, Auteur ; Shrikanth NARAYANAN, Auteur . - [s.d.] . - p.319-344. Langues : Anglais (eng) Index. décimale : SCI-D SCI-D - Neurosciences Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=382

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Strategies for Disseminating Information on Biomedical Research on Autism to Hispanic Parents / Clara M. LAJONCHERE in Journal of Autism and Developmental Disorders, 46-3 (March 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.1038-1050 Titre : Strategies for Disseminating Information on Biomedical Research on Autism to Hispanic Parents Type de document : Texte imprimé et/ou numérique Auteurs : Clara M. LAJONCHERE, Auteur ; Barbara Y. WHEELER, Auteur ; Thomas W. VALENTE, Auteur ; Cary KREUTZER, Auteur ; Aron MUNSON, Auteur ; Shrikanth NARAYANAN, Auteur ; Abe KAZEMZADEH, Auteur ; Roxana CRUZ, Auteur ; Irene MARTINEZ, Auteur ; Sheree M. SCHRAGER, Auteur ; Lisa SCHWEITZER, Auteur ; Tara CHKLOVSKI, Auteur ; Darryl HWANG, Auteur Article en page(s) : p.1038-1050 Langues : Anglais (eng) Mots-clés : Biomedical research on Autism  Hispanic/Latino  Health literacy  Racial disparities Index. décimale : PER Périodiques Résumé : Low income Hispanic families experience multiple barriers to accessing evidence-based information on Autism Spectrum Disorders (ASD). This study utilized a mixed-strategy intervention to create access to information in published bio-medical research articles on ASD by distilling the content into parent-friendly English- and Spanish-language ASD Science Briefs and presenting them to participants using two socially-oriented dissemination methods. There was a main effect for short-term knowledge gains associated with the Science Briefs but no effect for the dissemination method. After 5 months, participants reported utilizing the information learned and 90 % wanted to read more Science Briefs. These preliminary findings highlight the potential benefits of distilling biomedical research articles on ASD into parent-friendly educational products for currently underserved Hispanic parents. En ligne : http://dx.doi.org/10.1007/s10803-015-2649-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281 [article] Strategies for Disseminating Information on Biomedical Research on Autism to Hispanic Parents [Texte imprimé et/ou numérique] / Clara M. LAJONCHERE, Auteur ; Barbara Y. WHEELER, Auteur ; Thomas W. VALENTE, Auteur ; Cary KREUTZER, Auteur ; Aron MUNSON, Auteur ; Shrikanth NARAYANAN, Auteur ; Abe KAZEMZADEH, Auteur ; Roxana CRUZ, Auteur ; Irene MARTINEZ, Auteur ; Sheree M. SCHRAGER, Auteur ; Lisa SCHWEITZER, Auteur ; Tara CHKLOVSKI, Auteur ; Darryl HWANG, Auteur . - p.1038-1050. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.1038-1050 Mots-clés : Biomedical research on Autism  Hispanic/Latino  Health literacy  Racial disparities Index. décimale : PER Périodiques Résumé : Low income Hispanic families experience multiple barriers to accessing evidence-based information on Autism Spectrum Disorders (ASD). This study utilized a mixed-strategy intervention to create access to information in published bio-medical research articles on ASD by distilling the content into parent-friendly English- and Spanish-language ASD Science Briefs and presenting them to participants using two socially-oriented dissemination methods. There was a main effect for short-term knowledge gains associated with the Science Briefs but no effect for the dissemination method. After 5 months, participants reported utilizing the information learned and 90 % wanted to read more Science Briefs. These preliminary findings highlight the potential benefits of distilling biomedical research articles on ASD into parent-friendly educational products for currently underserved Hispanic parents. En ligne : http://dx.doi.org/10.1007/s10803-015-2649-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281

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