Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Massimo Molteni 1"'
Autor:
Alessandro Crippa 1, 2, Christian Salvatore 3, Erika Molteni 4, Maddalena Mauri 1, Antonio Salandi 1, Sara Trabattoni 1, Carlo Agostoni 5, Massimo Molteni 1, Maria Nobile 1, Isabella Castiglioni 3
Publikováno v:
Frontiers in Psychiatry, Vol 8 (2017)
Frontiers in Psychiatry 8 (2017): 189. doi:10.3389/fpsyt.2017.00189
info:cnr-pdr/source/autori:Alessandro Crippa 1,2, Christian Salvatore 3, Erika Molteni 4, Maddalena Mauri 1, Antonio Salandi 1, Sara Trabattoni 1, Carlo Agostoni 5, Massimo Molteni 1, Maria Nobile 1 and Isabella Castiglioni 3/titolo:The Utility of a Computerized Algorithm Based on a Multi-Domain Profile of Measures for the Diagnosis of Attention Deficit%2FHyperactivity Disorder/doi:10.3389%2Ffpsyt.2017.00189/rivista:Frontiers in Psychiatry/anno:2017/pagina_da:189/pagina_a:/intervallo_pagine:189/volume:8
Frontiers in Psychiatry 8 (2017): 189. doi:10.3389/fpsyt.2017.00189
info:cnr-pdr/source/autori:Alessandro Crippa 1,2, Christian Salvatore 3, Erika Molteni 4, Maddalena Mauri 1, Antonio Salandi 1, Sara Trabattoni 1, Carlo Agostoni 5, Massimo Molteni 1, Maria Nobile 1 and Isabella Castiglioni 3/titolo:The Utility of a Computerized Algorithm Based on a Multi-Domain Profile of Measures for the Diagnosis of Attention Deficit%2FHyperactivity Disorder/doi:10.3389%2Ffpsyt.2017.00189/rivista:Frontiers in Psychiatry/anno:2017/pagina_da:189/pagina_a:/intervallo_pagine:189/volume:8
The current gold standard for diagnosis of attention deficit/hyperactivity disorder (ADHD) includes subjective measures, such as clinical interview, observation, and rating scales. The significant heterogeneity of ADHD symptoms represents a challenge
Autor:
Valentina Bianchi 1, 2, Paolo Brambilla 3, 4, Marco Garzitto 5, Paola Colombo 1, Livia Fornasari 5, Monica Bellina 1, Carolina Bonivento 6, 7, Alessandra Tesei 1, Sara Piccin 5, Stefania Conte 8, 9, Giampaolo Perna 10, Alessandra Frigerio 1, Isabella Castiglioni 2, Franco Fabbro 5, Massimo Molteni 1, Maria Nobile 1
Publikováno v:
European Child & Adolescent Psychiatry
Europe PubMed Central
European child & adolescent psychiatry 26 (2016): 549–557. doi:10.1007/s00787-016-0918-2
info:cnr-pdr/source/autori:Valentina Bianchi 1,2, Paolo Brambilla 3,4, Marco Garzitto 5, Paola Colombo 1, Livia Fornasari 5, Monica Bellina 1, Carolina Bonivento 6,7, Alessandra Tesei 1, Sara Piccin 5, Stefania Conte 8,9, Giampaolo Perna 10, Alessandra Frigerio 1, Isabella Castiglioni 2, Franco Fabbro 5, Massimo Molteni 1, Maria Nobile 1,10/titolo:Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses./doi:10.1007%2Fs00787-016-0918-2/rivista:European child & adolescent psychiatry/anno:2016/pagina_da:549/pagina_a:557/intervallo_pagine:549–557/volume:26
Europe PubMed Central
European child & adolescent psychiatry 26 (2016): 549–557. doi:10.1007/s00787-016-0918-2
info:cnr-pdr/source/autori:Valentina Bianchi 1,2, Paolo Brambilla 3,4, Marco Garzitto 5, Paola Colombo 1, Livia Fornasari 5, Monica Bellina 1, Carolina Bonivento 6,7, Alessandra Tesei 1, Sara Piccin 5, Stefania Conte 8,9, Giampaolo Perna 10, Alessandra Frigerio 1, Isabella Castiglioni 2, Franco Fabbro 5, Massimo Molteni 1, Maria Nobile 1,10/titolo:Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses./doi:10.1007%2Fs00787-016-0918-2/rivista:European child & adolescent psychiatry/anno:2016/pagina_da:549/pagina_a:557/intervallo_pagine:549–557/volume:26
Researchers’ interest have recently moved toward the identification of recurrent psychopathological profiles characterized by concurrent elevations on different behavioural and emotional traits. This new strategy turned to be useful in terms of dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d95052355bbc969a94d3db03627c116d
http://hdl.handle.net/10281/257504
http://hdl.handle.net/10281/257504
Autor:
Alessandro Crippa 1, 2 Christian Salvatore 2, Paolo Perego 3, Sara Forti 1, Maria Nobile 1, 4, Massimo Molteni 1, Isabella Castiglioni 2
Publikováno v:
Journal of autism and developmental disorders 45 (2015): 2146–2156. doi:10.1007/s10803-015-2379-8
info:cnr-pdr/source/autori:Alessandro Crippa 1,2 Christian Salvatore 2, Paolo Perego 3, Sara Forti 1, Maria Nobile 1,4, Massimo Molteni 1, Isabella Castiglioni 2/titolo:Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities/doi:10.1007%2Fs10803-015-2379-8/rivista:Journal of autism and developmental disorders/anno:2015/pagina_da:2146/pagina_a:2156/intervallo_pagine:2146–2156/volume:45
info:cnr-pdr/source/autori:Alessandro Crippa 1,2 Christian Salvatore 2, Paolo Perego 3, Sara Forti 1, Maria Nobile 1,4, Massimo Molteni 1, Isabella Castiglioni 2/titolo:Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities/doi:10.1007%2Fs10803-015-2379-8/rivista:Journal of autism and developmental disorders/anno:2015/pagina_da:2146/pagina_a:2156/intervallo_pagine:2146–2156/volume:45
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b3db0bdca61d4c9a26ed8db4c6553f
http://hdl.handle.net/10281/88508
http://hdl.handle.net/10281/88508