Literature DB >> 28576547

Impact of sample size and matching on single-subject classification of schizophrenia: A meta-analysis.

Andres H Neuhaus1, Florin C Popescu2.   

Abstract

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Year:  2017        PMID： 28576547     DOI： 10.1016/j.schres.2017.05.025

Source DB:  PubMed          Journal:  Schizophr Res        ISSN： 0920-9964            Impact factor:   4.939


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  2 in total

1.  Generalizability of machine learning for classification of schizophrenia based on resting-state functional MRI data.

Authors:  Xin-Lu Cai; Dong-Jie Xie; Kristoffer H Madsen; Yong-Ming Wang; Sophie Alida Bögemann; Eric F C Cheung; Arne Møller; Raymond C K Chan
Journal:  Hum Brain Mapp       Date:  2019-10-01       Impact factor: 5.038

2.  Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients.

Authors:  Bjørn H Ebdrup; Martin C Axelsen; Nikolaj Bak; Birgitte Fagerlund; Bob Oranje; Jayachandra M Raghava; Mette Ø Nielsen; Egill Rostrup; Lars K Hansen; Birte Y Glenthøj
Journal:  Psychol Med       Date:  2018-12-18       Impact factor: 7.723
  2 in total

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