Trimethoprim-induced hyperkalaemia - lessons in data mining

被引：13

作者：

Hauben, M ^{[1
]}

机构：

[1] Pfizer Inc, New York, NY 10017 USA

来源：

BRITISH JOURNAL OF CLINICAL PHARMACOLOGY | 2004年 / 58卷 / 03期

关键词：

D O I：

10.1111/j.1365-2125.2004.02153.x

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

引用

收藏

页码：338 / 339

页数：2

相关论文

共 5 条

[1] A Bayesian neural network method for adverse drug reaction signal generation
Bate, A
Lindquist, M
Edwards, IR
Olsson, S
Orre, R
Lansner, A
De Freitas, RM
[J]. EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 1998, 54 (04) : 315 - 321
[2] Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports
Evans, SJW
Waller, PC
Davis, S
[J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2001, 10 (06) : 483 - 486
[3] A brief primer on automated signal detection
Hauben, M
[J]. ANNALS OF PHARMACOTHERAPY, 2003, 37 (7-8) : 1117 - 1123
[4] Drug-induced hyperkalemia: Old culprits and new offenders
Perazella, MA
[J]. AMERICAN JOURNAL OF MEDICINE, 2000, 109 (04) : 307 - 314
[5] Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the USFDA's spontaneous reports database
Szarfman, A
Machado, SG
O'Neill, RT
[J]. DRUG SAFETY, 2002, 25 (06) : 381 - 392