Analysis of diagnoses extracted from Electronic health records in a large mental health Case Register

Yevgeniya Kovalchuk; Robert Stewart; Matthew Broadbent; Tim J.P. Hubbard; Richard J.B. Dobson

doi:10.1371/journal.pone.0171526

Analysis of diagnoses extracted from Electronic health records in a large mental health Case Register

Yevgeniya Kovalchuk
, Robert Stewart
, Matthew Broadbent
, Tim J.P. Hubbard
, Richard J.B. Dobson

King's College London
Maudsley NHS Foundation
University College London

Research output: Contribution to journal › Article › peer-review

9 Citations (SciVal)

Original language	English
Article number	e0171526
Journal	PLoS ONE
Volume	12
Issue number	2
DOIs	https://doi.org/10.1371/journal.pone.0171526
Publication status	Published (VoR) - Feb 2017

Funding

This paper represents independent research funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Access to Document

10.1371/journal.pone.0171526

Cite this

@article{ea35f442b51f437e83e531ab48d564f7,

title = "Analysis of diagnoses extracted from Electronic health records in a large mental health Case Register",

author = "Yevgeniya Kovalchuk and Robert Stewart and Matthew Broadbent and Hubbard, \{Tim J.P.\} and Dobson, \{Richard J.B.\}",

note = "Funding Information: This paper represents independent research funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King{\textquoteright}s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. Publisher Copyright: {\textcopyright} 2017 Kovalchuk et a. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2017",

month = feb,

doi = "10.1371/journal.pone.0171526",

language = "English",

volume = "12",

journal = "PLoS ONE",

issn = "1932-6203",

publisher = "Public Library of Science",

number = "2",

}

TY - JOUR

T1 - Analysis of diagnoses extracted from Electronic health records in a large mental health Case Register

AU - Kovalchuk, Yevgeniya

AU - Stewart, Robert

AU - Broadbent, Matthew

AU - Hubbard, Tim J.P.

AU - Dobson, Richard J.B.

N1 - Funding Information: This paper represents independent research funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. Publisher Copyright: © 2017 Kovalchuk et a. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2017/2

Y1 - 2017/2

UR - https://www.scopus.com/pages/publications/85012966838

UR - https://www.scopus.com/pages/publications/85012966838#tab=citedBy

U2 - 10.1371/journal.pone.0171526

DO - 10.1371/journal.pone.0171526

M3 - Article

C2 - 28207753

AN - SCOPUS:85012966838

SN - 1932-6203

VL - 12

JO - PLoS ONE

JF - PLoS ONE

IS - 2

M1 - e0171526

ER -

Analysis of diagnoses extracted from Electronic health records in a large mental health Case Register

Funding

Access to Document

Other files and links

Fingerprint

Cite this