Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Dose-specific adverse drug reaction identification in electronic patient records : temporal data mining in an inpatient psychiatric population. / Eriksson, Robert; Werge, Thomas; Jensen, Lars Juhl; Brunak, Søren.

In: Drug Safety, Vol. 37, No. 4, 04.2014, p. 237-47.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Eriksson, R, Werge, T, Jensen, LJ & Brunak, S 2014, 'Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population', Drug Safety, vol. 37, no. 4, pp. 237-47. https://doi.org/10.1007/s40264-014-0145-z

APA

Eriksson, R., Werge, T., Jensen, L. J., & Brunak, S. (2014). Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population. Drug Safety, 37(4), 237-47. https://doi.org/10.1007/s40264-014-0145-z

Vancouver

Eriksson R, Werge T, Jensen LJ, Brunak S. Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population. Drug Safety. 2014 Apr;37(4):237-47. https://doi.org/10.1007/s40264-014-0145-z

Author

Eriksson, Robert ; Werge, Thomas ; Jensen, Lars Juhl ; Brunak, Søren. / Dose-specific adverse drug reaction identification in electronic patient records : temporal data mining in an inpatient psychiatric population. In: Drug Safety. 2014 ; Vol. 37, No. 4. pp. 237-47.

Bibtex

@article{3df5ab9481ed4766a7a5686eeacb663a,
title = "Dose-specific adverse drug reaction identification in electronic patient records: temporal data mining in an inpatient psychiatric population",
abstract = "Data collected for medical, filing and administrative purposes in electronic patient records (EPRs) represent a rich source of individualised clinical data, which has great potential for improved detection of patients experiencing adverse drug reactions (ADRs), across all approved drugs and across all indication areas.",
author = "Robert Eriksson and Thomas Werge and Jensen, {Lars Juhl} and S{\o}ren Brunak",
year = "2014",
month = apr,
doi = "10.1007/s40264-014-0145-z",
language = "English",
volume = "37",
pages = "237--47",
journal = "Drug Safety",
issn = "0114-5916",
publisher = "Adis International Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Dose-specific adverse drug reaction identification in electronic patient records

T2 - temporal data mining in an inpatient psychiatric population

AU - Eriksson, Robert

AU - Werge, Thomas

AU - Jensen, Lars Juhl

AU - Brunak, Søren

PY - 2014/4

Y1 - 2014/4

N2 - Data collected for medical, filing and administrative purposes in electronic patient records (EPRs) represent a rich source of individualised clinical data, which has great potential for improved detection of patients experiencing adverse drug reactions (ADRs), across all approved drugs and across all indication areas.

AB - Data collected for medical, filing and administrative purposes in electronic patient records (EPRs) represent a rich source of individualised clinical data, which has great potential for improved detection of patients experiencing adverse drug reactions (ADRs), across all approved drugs and across all indication areas.

U2 - 10.1007/s40264-014-0145-z

DO - 10.1007/s40264-014-0145-z

M3 - Journal article

C2 - 24634163

VL - 37

SP - 237

EP - 247

JO - Drug Safety

JF - Drug Safety

SN - 0114-5916

IS - 4

ER -

ID: 110604757