Erratum: Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine)

Erik Perfalk; Jakob Grøhn Damgaard; Martin Bernstorff; Lasse Hansen; Andreas Aalkjær Danielsen; Søren Dinesen Østergaard

doi:10.1017/S0033291725100846

Erratum: Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine)

Erik Perfalk
, Jakob Grøhn Damgaard
, Martin Bernstorff
, Lasse Hansen
, Andreas Aalkjær Danielsen
, Søren Dinesen Østergaard

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Corrigendum › Research › peer-review

Original language	English
Journal	Psychological Medicine
Volume	55
Pages (from-to)	e167
ISSN	0033-2917
DOIs	https://doi.org/10.1017/S0033291725100846
Publication status	Published - 16 Jun 2025

Access to Document

10.1017/S0033291725100846

Library access?

Check availability with the Royal Danish Library

Cite this

@misc{cc54d312b1cd4bf18e370e5b7e1f0b8e,

title = "Erratum: Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine)",

author = "Erik Perfalk and Damgaard, \{Jakob Gr{\o}hn\} and Martin Bernstorff and Lasse Hansen and Danielsen, \{Andreas Aalkj{\ae}r\} and {\O}stergaard, \{S{\o}ren Dinesen\}",

year = "2025",

month = jun,

day = "16",

doi = "10.1017/S0033291725100846",

language = "English",

volume = "55",

pages = "e167",

journal = "Psychological Medicine",

issn = "0033-2917",

publisher = "Cambridge University Press",

}

Erratum: Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine). / Perfalk, Erik; Damgaard, Jakob Grøhn; Bernstorff, Martin et al.
In: Psychological Medicine, Vol. 55, 16.06.2025, p. e167.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Corrigendum › Research › peer-review

TY - GEN

T1 - Erratum

T2 - Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine)

AU - Perfalk, Erik

AU - Damgaard, Jakob Grøhn

AU - Bernstorff, Martin

AU - Hansen, Lasse

AU - Danielsen, Andreas Aalkjær

AU - Østergaard, Søren Dinesen

PY - 2025/6/16

Y1 - 2025/6/16

UR - https://www.scopus.com/pages/publications/105009315333

U2 - 10.1017/S0033291725100846

DO - 10.1017/S0033291725100846

M3 - Corrigendum

C2 - 40518972

AN - SCOPUS:105009315333

SN - 0033-2917

VL - 55

SP - e167

JO - Psychological Medicine

JF - Psychological Medicine

ER -

Erratum: Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM (Psychological medicine)

Access to Document

Library access?

Other files and links

Cite this