Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning

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Prediction of opioid dose in cancer pain patients using genetic profiling : not yet an option with support vector machine learning. / Olesen, Anne Estrup; Grønlund, Debbie; Gram, Mikkel; Skorpen, Frank; Drewes, Asbjørn Mohr; Klepstad, Pål.

I: BMC Research Notes, Bind 11, Nr. 1, 78, 27.01.2018.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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@article{9cff7542c9014af09ad319cd61d489c1,
title = "Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning",
keywords = "Journal Article",
author = "Olesen, {Anne Estrup} and Debbie Gr{\o}nlund and Mikkel Gram and Frank Skorpen and Drewes, {Asbj{\o}rn Mohr} and P{\aa}l Klepstad",
year = "2018",
month = "1",
day = "27",
doi = "10.1186/s13104-018-3194-z",
language = "English",
volume = "11",
journal = "BMC Research Notes",
issn = "1756-0500",
publisher = "BioMed Central",
number = "1",

}

RIS

TY - JOUR

T1 - Prediction of opioid dose in cancer pain patients using genetic profiling

T2 - BMC Research Notes

AU - Olesen, Anne Estrup

AU - Grønlund, Debbie

AU - Gram, Mikkel

AU - Skorpen, Frank

AU - Drewes, Asbjørn Mohr

AU - Klepstad, Pål

PY - 2018/1/27

Y1 - 2018/1/27

KW - Journal Article

U2 - 10.1186/s13104-018-3194-z

DO - 10.1186/s13104-018-3194-z

M3 - Journal article

VL - 11

JO - BMC Research Notes

JF - BMC Research Notes

SN - 1756-0500

IS - 1

M1 - 78

ER -

ID: 268167793