Literature DB >> 34240264

Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research.

Veit Roessner1, Josefine Rothe2, Gregor Kohls2, Georg Schomerus3, Stefan Ehrlich2,4, Christian Beste2.   

Abstract

Entities:  

Year:  2021        PMID： 34240264     DOI： 10.1007/s00787-021-01836-0

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN： 1018-8827            Impact factor:   4.785


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  11 in total

1.  Clinical and translational science: from bench-bedside to global village.

Authors:  Scott A Waldman; Andre Terzic
Journal:  Clin Transl Sci       Date:  2010-10       Impact factor: 4.689

Review 2.  Deep learning for electroencephalogram (EEG) classification tasks: a review.

Authors:  Alexander Craik; Yongtian He; Jose L Contreras-Vidal
Journal:  J Neural Eng       Date:  2019-02-26       Impact factor: 5.379

3.  On the interpretation of weight vectors of linear models in multivariate neuroimaging.

Authors:  Stefan Haufe; Frank Meinecke; Kai Görgen; Sven Dähne; John-Dylan Haynes; Benjamin Blankertz; Felix Bießmann
Journal:  Neuroimage       Date:  2013-11-15       Impact factor: 6.556

Review 4.  Deep neural networks in psychiatry.

Authors:  Daniel Durstewitz; Georgia Koppe; Andreas Meyer-Lindenberg
Journal:  Mol Psychiatry       Date:  2019-02-15       Impact factor: 15.992

Review 5.  Global mental health and the National Institute of Mental Health Research Domain Criteria.

Authors:  Stevan Merill Weine; Scott Langenecker; Aliriza Arenliu
Journal:  Int J Soc Psychiatry       Date:  2018-05-22

6.  Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Authors:  Laura Pina-Camacho; Juan Garcia-Prieto; Mara Parellada; Josefina Castro-Fornieles; Ana M Gonzalez-Pinto; Igor Bombin; Montserrat Graell; Beatriz Paya; Marta Rapado-Castro; Joost Janssen; Inmaculada Baeza; Francisco Del Pozo; Manuel Desco; Celso Arango
Journal:  Eur Child Adolesc Psychiatry       Date:  2014-08-11       Impact factor: 4.785

7.  Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms.

Authors:  Julie Bourgin; Edouard Duchesnay; Emilie Magaud; Raphaël Gaillard; Mathilde Kazes; Marie-Odile Krebs
Journal:  Eur Child Adolesc Psychiatry       Date:  2019-12-23       Impact factor: 4.785

Review 8.  New approaches to psychiatric diagnostic classification.

Authors:  Michael J Owen
Journal:  Neuron       Date:  2014-11-05       Impact factor: 17.173

9.  The global burden of mental, neurological and substance use disorders: an analysis from the Global Burden of Disease Study 2010.

Authors:  Harvey A Whiteford; Alize J Ferrari; Louisa Degenhardt; Valery Feigin; Theo Vos
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

10.  Health Care Use and Costs of Children, Adolescents, and Young Adults With Somatic Symptom and Related Disorders.

Authors:  Natasha Ruth Saunders; Sima Gandhi; Simon Chen; Simone Vigod; Kinwah Fung; Claire De Souza; Hana Saab; Paul Kurdyak
Journal:  JAMA Netw Open       Date:  2020-07-01
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  3 in total

Review 1.  AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients.

Authors:  Krešimir Ćosić; Siniša Popović; Marko Šarlija; Ivan Kesedžić; Mate Gambiraža; Branimir Dropuljić; Igor Mijić; Neven Henigsberg; Tanja Jovanovic
Journal:  Front Psychol       Date:  2021-12-28

Review 2.  European clinical guidelines for Tourette syndrome and other tic disorders-version 2.0. Part III: pharmacological treatment.

Authors:  Veit Roessner; Heike Eichele; Jeremy S Stern; Liselotte Skov; Renata Rizzo; Nanette Mol Debes; Péter Nagy; Andrea E Cavanna; Cristiano Termine; Christos Ganos; Alexander Münchau; Natalia Szejko; Danielle Cath; Kirsten R Müller-Vahl; Cara Verdellen; Andreas Hartmann; Aribert Rothenberger; Pieter J Hoekstra; Kerstin J Plessen
Journal:  Eur Child Adolesc Psychiatry       Date:  2021-11-10       Impact factor: 4.785

3.  Analysis of Erhu Performance Effect in Public Health Music Works Based on Artificial Intelligence Technology.

Authors:  Li Yang
Journal:  J Environ Public Health       Date:  2022-09-01
  3 in total

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