Literature DB >> 27843153

Predictive analytics in mental health: applications, guidelines, challenges and perspectives.

T Hahn1, A A Nierenberg2,3, S Whitfield-Gabrieli4.   

Abstract

The emerging field of 'predictive analytics in mental health' has recently generated tremendous interest with the bold promise to revolutionize clinical practice in psychiatry paralleling similar developments in personalized and precision medicine. Here, we provide an overview of the key questions and challenges in the field, aiming to (1) propose general guidelines for predictive analytics projects in psychiatry, (2) provide a conceptual introduction to core aspects of predictive modeling technology, and (3) foster a broad and informed discussion involving all stakeholders including researchers, clinicians, patients, funding bodies and policymakers.

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Mesh:

Year:  2016        PMID: 27843153     DOI: 10.1038/mp.2016.201

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  45 in total

1.  Preparing for precision medicine.

Authors:  Reza Mirnezami; Jeremy Nicholson; Ara Darzi
Journal:  N Engl J Med       Date:  2012-01-18       Impact factor: 91.245

2.  Pragmatism Instead of Mechanism: A Call for Impactful Biological Psychiatry.

Authors:  Martin P Paulus
Journal:  JAMA Psychiatry       Date:  2015-07       Impact factor: 21.596

3.  Biomarkers With a Mechanistic Focus.

Authors:  Daniel S Pine; Ellen Leibenluft
Journal:  JAMA Psychiatry       Date:  2015-07       Impact factor: 21.596

Review 4.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

5.  Relative impact of Axis I mental disorders on quality of life among adults in the community.

Authors:  Bingqing Guan; Yunlong Deng; Patricia Cohen; Henian Chen
Journal:  J Affect Disord       Date:  2011-06       Impact factor: 4.839

6.  Effects of patients with bipolar, schizophrenic, and major depressive disorders on the mental and other healthcare expenses of family members.

Authors:  Frank D Gianfrancesco; Ruey-hua Wang; Elaine Yu
Journal:  Soc Sci Med       Date:  2005-01-22       Impact factor: 4.634

7.  Depressive disorders in spouses of mentally ill patients.

Authors:  Bettina Wittmund; H-Ulrich Wilms; Claudia Mory; Matthias C Angermeyer
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2002-04       Impact factor: 4.328

Review 8.  The size and burden of mental disorders and other disorders of the brain in Europe 2010.

Authors:  H U Wittchen; F Jacobi; J Rehm; A Gustavsson; M Svensson; B Jönsson; J Olesen; C Allgulander; J Alonso; C Faravelli; L Fratiglioni; P Jennum; R Lieb; A Maercker; J van Os; M Preisig; L Salvador-Carulla; R Simon; H-C Steinhausen
Journal:  Eur Neuropsychopharmacol       Date:  2011-09       Impact factor: 4.600

Review 9.  Machine learning classifiers and fMRI: a tutorial overview.

Authors:  Francisco Pereira; Tom Mitchell; Matthew Botvinick
Journal:  Neuroimage       Date:  2008-11-21       Impact factor: 6.556

10.  PCORnet: turning a dream into reality.

Authors:  Francis S Collins; Kathy L Hudson; Josephine P Briggs; Michael S Lauer
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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  27 in total

Review 1.  Do Statins Have Antidepressant Effects?

Authors:  Ole Köhler-Forsberg; Christiane Gasse; Michael Berk; Søren Dinesen Østergaard
Journal:  CNS Drugs       Date:  2017-05       Impact factor: 5.749

2.  Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis.

Authors:  Nikolaos Koutsouleris; Lana Kambeitz-Ilankovic; Stephan Ruhrmann; Marlene Rosen; Anne Ruef; Dominic B Dwyer; Marco Paolini; Katharine Chisholm; Joseph Kambeitz; Theresa Haidl; André Schmidt; John Gillam; Frauke Schultze-Lutter; Peter Falkai; Maximilian Reiser; Anita Riecher-Rössler; Rachel Upthegrove; Jarmo Hietala; Raimo K R Salokangas; Christos Pantelis; Eva Meisenzahl; Stephen J Wood; Dirk Beque; Paolo Brambilla; Stefan Borgwardt
Journal:  JAMA Psychiatry       Date:  2018-11-01       Impact factor: 21.596

3.  Predictive modeling of service discontinuation in transitional age youth with recent behavioral health service use.

Authors:  Christopher Bory; Timothy Schmutte; Larry Davidson; Robert Plant
Journal:  Health Serv Res       Date:  2021-08-27       Impact factor: 3.402

4.  Predicting response to psychiatric surgery: a systematic review of neuroimaging findings.

Authors:  Benjamin Davidson; Hrishikesh Suresh; Maged Goubran; Jennifer S Rabin; Ying Meng; Karim Mithani; Christopher B Pople; Peter Giacobbe; Clement Hamani; Nir Lipsman
Journal:  J Psychiatry Neurosci       Date:  2020-11-01       Impact factor: 6.186

5.  Behavioral Modeling for Mental Health using Machine Learning Algorithms.

Authors:  M Srividya; S Mohanavalli; N Bhalaji
Journal:  J Med Syst       Date:  2018-04-03       Impact factor: 4.460

6.  Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis.

Authors:  Nikolaos Koutsouleris; Thomas Wobrock; Birgit Guse; Berthold Langguth; Michael Landgrebe; Peter Eichhammer; Elmar Frank; Joachim Cordes; Wolfgang Wölwer; Francesco Musso; Georg Winterer; Wolfgang Gaebel; Göran Hajak; Christian Ohmann; Pablo E Verde; Marcella Rietschel; Raees Ahmed; William G Honer; Dominic Dwyer; Farhad Ghaseminejad; Peter Dechent; Berend Malchow; Peter M Kreuzer; Tim B Poeppl; Thomas Schneider-Axmann; Peter Falkai; Alkomiet Hasan
Journal:  Schizophr Bull       Date:  2018-08-20       Impact factor: 9.306

7.  Global Health and Visa Policy Reform to Address Dangers of Hajj during Summer Seasons.

Authors:  Mohanad Aleeban; Tim K Mackey
Journal:  Front Public Health       Date:  2016-12-22

Review 8.  Neuromarkers for Mental Disorders: Harnessing Population Neuroscience.

Authors:  Lee Jollans; Robert Whelan
Journal:  Front Psychiatry       Date:  2018-06-06       Impact factor: 4.157

Review 9.  Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?

Authors:  Frauke Nees; Lorenz Deserno; Nathalie E Holz; Marcel Romanos; Tobias Banaschewski
Journal:  Front Syst Neurosci       Date:  2021-07-06

10.  The functional variant rs334558 of GSK3B is associated with remission in patients with depressive disorders.

Authors:  Anastasia Levchenko; Innokentiy S Losenkov; Natalia M Vyalova; German G Simutkin; Nikolay A Bokhan; Bob Wilffert; Anton Jm Loonen; Svetlana A Ivanova
Journal:  Pharmgenomics Pers Med       Date:  2018-07-20
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