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Editorial: Early detection of mental health and neurodevelopmental disorders: the ethical challenges of a field in its infancy / Sally OZONOFF in Journal of Child Psychology and Psychiatry, 56-9 (September 2015)
[article]
Titre : Editorial: Early detection of mental health and neurodevelopmental disorders: the ethical challenges of a field in its infancy Type de document : Texte imprimé et/ou numérique Auteurs : Sally OZONOFF, Auteur Article en page(s) : p.933-935 Langues : Anglais (eng) Mots-clés : Early detection ethical issues assessment neurodevelopmental disorders incorrect identification Index. décimale : PER Périodiques Résumé : The signs of many mental health and neurodevelopmental conditions first appear in childhood and diagnosis can reliably be made by school age for most. Such conditions can be chronically disabling and confer significant long-term impairment. Determining early risk signs and first emerging symptoms of disorder is imperative to enhance early detection and to identify targets and ideal time points for prevention and intervention efforts. This Special Issue of JCPP focuses on the prospect of earlier identification of conditions that are traditionally diagnosed later in childhood. Ten invited empirical articles cover topics related to the science of early detection. Several are focused on prediction of later diagnosis, of functional impairment, and of future service utilization, while others cover instrument development and topics related to screening. The papers span the conditions of ADHD, ASD, dyslexia, mood dysregulation, disruptive behavior disorders, and anxiety disorders. This Editorial provides an overview of the invited contributions and the perspectives they provide on the ethical challenges and choices of a field still in its infancy. En ligne : http://dx.doi.org/10.1111/jcpp.12452 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267
in Journal of Child Psychology and Psychiatry > 56-9 (September 2015) . - p.933-935[article] Editorial: Early detection of mental health and neurodevelopmental disorders: the ethical challenges of a field in its infancy [Texte imprimé et/ou numérique] / Sally OZONOFF, Auteur . - p.933-935.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-9 (September 2015) . - p.933-935
Mots-clés : Early detection ethical issues assessment neurodevelopmental disorders incorrect identification Index. décimale : PER Périodiques Résumé : The signs of many mental health and neurodevelopmental conditions first appear in childhood and diagnosis can reliably be made by school age for most. Such conditions can be chronically disabling and confer significant long-term impairment. Determining early risk signs and first emerging symptoms of disorder is imperative to enhance early detection and to identify targets and ideal time points for prevention and intervention efforts. This Special Issue of JCPP focuses on the prospect of earlier identification of conditions that are traditionally diagnosed later in childhood. Ten invited empirical articles cover topics related to the science of early detection. Several are focused on prediction of later diagnosis, of functional impairment, and of future service utilization, while others cover instrument development and topics related to screening. The papers span the conditions of ADHD, ASD, dyslexia, mood dysregulation, disruptive behavior disorders, and anxiety disorders. This Editorial provides an overview of the invited contributions and the perspectives they provide on the ethical challenges and choices of a field still in its infancy. En ligne : http://dx.doi.org/10.1111/jcpp.12452 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267 Editorial: Painting by numbers: using modern approaches to analyse and visualise clinical and research data / David COGHILL in Journal of Child Psychology and Psychiatry, 56-10 (October 2015)
[article]
Titre : Editorial: Painting by numbers: using modern approaches to analyse and visualise clinical and research data Type de document : Texte imprimé et/ou numérique Auteurs : David COGHILL, Auteur Article en page(s) : p.1035-1037 Langues : Anglais (eng) Mots-clés : Early detection ethical issues assessment neurodevelopmental disorders incorrect identification data visualisation Index. décimale : PER Périodiques Résumé : A broad range of modern mathematical and statistical approaches alongside vastly increased computing power have opened up new posibilities for the management and analysis of research data. These approaches have allowed researchers to link data from large public registries and then explore these very large and complex datasets. Machine learning approaches that can both learn from and make predictions about data are helping us move closer to a personalised medicine approach. These advances in data management and analysis have been mirrored by the development of various innovative, creative and informative visualisation tools and approaches that offer the researcher fantastic possibilities to improve the clarity of their presentations and increase the impact of their research. In order to make the best use of these opportunities it will be important to ensure that we are more consistent in bringing the right kind of skills into our research teams at the beginning of the process rather than turning to them as an afterthought at the end of the process. En ligne : http://dx.doi.org/10.1111/jcpp.12467 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=269
in Journal of Child Psychology and Psychiatry > 56-10 (October 2015) . - p.1035-1037[article] Editorial: Painting by numbers: using modern approaches to analyse and visualise clinical and research data [Texte imprimé et/ou numérique] / David COGHILL, Auteur . - p.1035-1037.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 56-10 (October 2015) . - p.1035-1037
Mots-clés : Early detection ethical issues assessment neurodevelopmental disorders incorrect identification data visualisation Index. décimale : PER Périodiques Résumé : A broad range of modern mathematical and statistical approaches alongside vastly increased computing power have opened up new posibilities for the management and analysis of research data. These approaches have allowed researchers to link data from large public registries and then explore these very large and complex datasets. Machine learning approaches that can both learn from and make predictions about data are helping us move closer to a personalised medicine approach. These advances in data management and analysis have been mirrored by the development of various innovative, creative and informative visualisation tools and approaches that offer the researcher fantastic possibilities to improve the clarity of their presentations and increase the impact of their research. In order to make the best use of these opportunities it will be important to ensure that we are more consistent in bringing the right kind of skills into our research teams at the beginning of the process rather than turning to them as an afterthought at the end of the process. En ligne : http://dx.doi.org/10.1111/jcpp.12467 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=269