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Literature DB >> 29986110

Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia.

Neeraj Tandon¹, Rajiv Tandon¹.

Abstract

Entities: Disease

Mesh：

Year: 2018 PMID： 29986110 PMCID： PMC6101563 DOI： 10.1093/schbul/sby101

Source DB: PubMed Journal: Schizophr Bull ISSN： 0586-7614 Impact factor: 9.306

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10 in total

1. Moving beyond findings: concepts and model-building in schizophrenia.

Authors: R Tandon
Journal: J Psychiatr Res Date: 1999 Nov-Dec Impact factor: 4.791

2. Chaos in the Brickyard.

Authors: B K Forscher
Journal: Science Date: 1963-10-18 Impact factor: 47.728

3. Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals.

Authors: Martin Rozycki; Theodore D Satterthwaite; Nikolaos Koutsouleris; Guray Erus; Jimit Doshi; Daniel H Wolf; Yong Fan; Raquel E Gur; Ruben C Gur; Eva M Meisenzahl; Chuanjun Zhuo; Hong Yin; Hao Yan; Weihua Yue; Dai Zhang; Christos Davatzikos
Journal: Schizophr Bull Date: 2018-08-20 Impact factor: 9.306

4. Computational Psychiatry and the Challenge of Schizophrenia.

Authors: John H Krystal; John D Murray; Adam M Chekroud; Philip R Corlett; Genevieve Yang; Xiao-Jing Wang; Alan Anticevic
Journal: Schizophr Bull Date: 2017-05-01 Impact factor: 9.306

5. Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia.

Authors: Dominic B Dwyer; Carlos Cabral; Lana Kambeitz-Ilankovic; Rachele Sanfelici; Joseph Kambeitz; Vince Calhoun; Peter Falkai; Christos Pantelis; Eva Meisenzahl; Nikolaos Koutsouleris
Journal: Schizophr Bull Date: 2018-08-20 Impact factor: 9.306

6. Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.

Authors: Amanda B Zheutlin; Adam M Chekroud; Renato Polimanti; Joel Gelernter; Fred W Sabb; Robert M Bilder; Nelson Freimer; Edythe D London; Christina M Hultman; Tyrone D Cannon
Journal: Schizophr Bull Date: 2018-08-20 Impact factor: 9.306

Review 7. The slow death of the concept of schizophrenia and the painful birth of the psychosis spectrum.

Authors: S Guloksuz; J van Os
Journal: Psychol Med Date: 2017-07-10 Impact factor: 7.723

Review 8. Schizophrenia, "Just the Facts": what we know in 2008 part 1: overview.

Authors: Rajiv Tandon; Matcheri S Keshavan; Henry A Nasrallah
Journal: Schizophr Res Date: 2008-03 Impact factor: 4.939

9. 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

10. Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy.

Authors: Long-Biao Cui; Lin Liu; Hua-Ning Wang; Liu-Xian Wang; Fan Guo; Yi-Bin Xi; Ting-Ting Liu; Chen Li; Ping Tian; Kang Liu; Wen-Jun Wu; Yi-Huan Chen; Wei Qin; Hong Yin
Journal: Schizophr Bull Date: 2018-08-20 Impact factor: 9.306

10 in total

9 in total

1. Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness.

Authors: Chelsea Chandler; Peter W Foltz; Brita Elvevåg
Journal: Schizophr Bull Date: 2020-01-04 Impact factor: 9.306

2. Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study.

Authors: Sai Krishna Tikka; Bikesh Kumar Singh; S Haque Nizamie; Shobit Garg; Sunandan Mandal; Kavita Thakur; Lokesh Kumar Singh
Journal: Indian J Psychiatry Date: 2020-05-15 Impact factor: 1.759

3. Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Authors: Matthew Bracher-Smith; Karen Crawford; Valentina Escott-Price
Journal: Mol Psychiatry Date: 2020-06-26 Impact factor: 15.992

4. Neuroanatomical Features That Predict Response to Electroconvulsive Therapy Combined With Antipsychotics in Schizophrenia: A Magnetic Resonance Imaging Study Using Radiomics Strategy.

Authors: Yi-Bin Xi; Long-Biao Cui; Jie Gong; Yu-Fei Fu; Xu-Sha Wu; Fan Guo; Xuejuan Yang; Chen Li; Xing-Rui Wang; Ping Li; Wei Qin; Hong Yin
Journal: Front Psychiatry Date: 2020-05-21 Impact factor: 4.157

5. Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.

Authors: Sandra Vieira; Qi-Yong Gong; Walter H L Pinaya; Cristina Scarpazza; Stefania Tognin; Benedicto Crespo-Facorro; Diana Tordesillas-Gutierrez; Victor Ortiz-García; Esther Setien-Suero; Floortje E Scheepers; Neeltje E M Van Haren; Tiago R Marques; Robin M Murray; Anthony David; Paola Dazzan; Philip McGuire; Andrea Mechelli
Journal: Schizophr Bull Date: 2020-01-04 Impact factor: 7.348

6. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Authors: Leonard Bickman
Journal: Adm Policy Ment Health Date: 2020-09