Clinical use of semantic space models in psychiatry and neurology: A systematic review and meta-analysis

J. N. de Boer; A. E. Voppel; M. J. H. Begemann; H. G. Schnack; F. Wijnen; I. E. C. Sommer

doi:10.1016/j.neubiorev.2018.06.008

Clinical use of semantic space models in psychiatry and neurology: A systematic review and meta-analysis

J. N. de Boer^*
, A. E. Voppel
, M. J. H. Begemann
, H. G. Schnack
, F. Wijnen
, I. E. C. Sommer

^*Corresponding author voor dit werk

Onderzoeksoutput › peer review

47 Citaten (Scopus)

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Verbal communication disorders are a hallmark of many neurological and psychiatric illnesses. Recent developments in computational analysis provide objective characterizations of these language abnormalities. We conducted a meta-analysis assessing semantic space models as a diagnostic or prognostic tool in psychiatric or neurological disorders. Diagnostic test accuracy analyses revealed reasonable sensitivity and specificity and high overall efficacy in differentiating between patients and controls (n=1680: Hedges' g=.73, p=.001). Analyses of full sentences (Hedges' g=.95 p

Originele taal-2	English
Pagina's (van-tot)	85-92
Aantal pagina's	8
Tijdschrift	Neuroscience and Biobehavioral Reviews
Volume	93
DOI's	https://doi.org/10.1016/j.neubiorev.2018.06.008
Status	Published - okt-2018

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Clinical use of semantic space models in psychiatry and neurology
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title = "Clinical use of semantic space models in psychiatry and neurology: A systematic review and meta-analysis",

abstract = "Verbal communication disorders are a hallmark of many neurological and psychiatric illnesses. Recent developments in computational analysis provide objective characterizations of these language abnormalities. We conducted a meta-analysis assessing semantic space models as a diagnostic or prognostic tool in psychiatric or neurological disorders. Diagnostic test accuracy analyses revealed reasonable sensitivity and specificity and high overall efficacy in differentiating between patients and controls (n=1680: Hedges' g=.73, p=.001). Analyses of full sentences (Hedges' g=.95 p",

keywords = "Natural language processing, Vector space, Semantic space, Neurology, Psychiatry, AUTISM SPECTRUM DISORDER, LANGUAGE COMPREHENSION, AUTOMATED-ANALYSIS, SPEECH, SCHIZOPHRENIA, PSYCHOSIS, DISCOURSE, COHERENCE, FEATURES, DEFICITS",

author = "\{de Boer\}, \{J. N.\} and Voppel, \{A. E.\} and Begemann, \{M. J. H.\} and Schnack, \{H. G.\} and F. Wijnen and Sommer, \{I. E. C.\}",

year = "2018",

month = oct,

doi = "10.1016/j.neubiorev.2018.06.008",

language = "English",

volume = "93",

pages = "85--92",

journal = "Neuroscience and Biobehavioral Reviews",

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T1 - Clinical use of semantic space models in psychiatry and neurology

T2 - A systematic review and meta-analysis

AU - de Boer, J. N.

AU - Voppel, A. E.

AU - Begemann, M. J. H.

AU - Schnack, H. G.

AU - Wijnen, F.

AU - Sommer, I. E. C.

PY - 2018/10

Y1 - 2018/10

N2 - Verbal communication disorders are a hallmark of many neurological and psychiatric illnesses. Recent developments in computational analysis provide objective characterizations of these language abnormalities. We conducted a meta-analysis assessing semantic space models as a diagnostic or prognostic tool in psychiatric or neurological disorders. Diagnostic test accuracy analyses revealed reasonable sensitivity and specificity and high overall efficacy in differentiating between patients and controls (n=1680: Hedges' g=.73, p=.001). Analyses of full sentences (Hedges' g=.95 p

AB - Verbal communication disorders are a hallmark of many neurological and psychiatric illnesses. Recent developments in computational analysis provide objective characterizations of these language abnormalities. We conducted a meta-analysis assessing semantic space models as a diagnostic or prognostic tool in psychiatric or neurological disorders. Diagnostic test accuracy analyses revealed reasonable sensitivity and specificity and high overall efficacy in differentiating between patients and controls (n=1680: Hedges' g=.73, p=.001). Analyses of full sentences (Hedges' g=.95 p

KW - Natural language processing

KW - Vector space

KW - Semantic space

KW - Neurology

KW - Psychiatry

KW - AUTISM SPECTRUM DISORDER

KW - LANGUAGE COMPREHENSION

KW - AUTOMATED-ANALYSIS

KW - SPEECH

KW - SCHIZOPHRENIA

KW - PSYCHOSIS

KW - DISCOURSE

KW - COHERENCE

KW - FEATURES

KW - DEFICITS

U2 - 10.1016/j.neubiorev.2018.06.008

DO - 10.1016/j.neubiorev.2018.06.008

M3 - Review article

SN - 0149-7634

VL - 93

SP - 85

EP - 92

JO - Neuroscience and Biobehavioral Reviews

JF - Neuroscience and Biobehavioral Reviews

ER -

Clinical use of semantic space models in psychiatry and neurology: A systematic review and meta-analysis

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