-
1
-
-
0031012726
-
The costs of adverse drug events in hospitalized patients. Adverse Drug Events Prevention Study Group
-
10.1001/jama.277.4.307, 9002493
-
Bates DW, Spell N, Cullen DJ, Burdick E, Laird N, Petersen LA, Small SD, Sweitzer BJ, Leape LL. The costs of adverse drug events in hospitalized patients. Adverse Drug Events Prevention Study Group. JAMA 1997, 277:307-311. 10.1001/jama.277.4.307, 9002493.
-
(1997)
JAMA
, vol.277
, pp. 307-311
-
-
Bates, D.W.1
Spell, N.2
Cullen, D.J.3
Burdick, E.4
Laird, N.5
Petersen, L.A.6
Small, S.D.7
Sweitzer, B.J.8
Leape, L.L.9
-
2
-
-
0031032055
-
Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality
-
10.1001/jama.277.4.301, 9002492
-
Classen DC, Pestotnik SL, Evans RS, Lloyd JF, Burke JP. Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality. JAMA 1997, 277:301-306. 10.1001/jama.277.4.301, 9002492.
-
(1997)
JAMA
, vol.277
, pp. 301-306
-
-
Classen, D.C.1
Pestotnik, S.L.2
Evans, R.S.3
Lloyd, J.F.4
Burke, J.P.5
-
3
-
-
77950267684
-
Adverse Event Reporting System
-
Adverse Event Reporting System. , http://www.fda.gov/cder/aers/default.htm
-
-
-
-
4
-
-
84888281241
-
The Upsala monitoring centre
-
The Upsala monitoring centre. , http://www.who-umc.org
-
-
-
-
5
-
-
84874647614
-
Welcome to MedDRA and the MSSO
-
Welcome to MedDRA and the MSSO. , http://www.meddramsso.com/MSSOWeb/index.htm
-
-
-
-
6
-
-
24344432126
-
The role of data mining in pharmacovigilance
-
10.1517/14740338.4.5.929, 16111454
-
Hauben M, Madigan D, Gerrits CM, Walsh L, van Puijenbroek EP. The role of data mining in pharmacovigilance. Expert Opin Drug Saf 2005, 4:929-948. 10.1517/14740338.4.5.929, 16111454.
-
(2005)
Expert Opin Drug Saf
, vol.4
, pp. 929-948
-
-
Hauben, M.1
Madigan, D.2
Gerrits, C.M.3
Walsh, L.4
van Puijenbroek, E.P.5
-
7
-
-
1242329171
-
Application of data mining techniques in pharmacovigilance
-
10.1046/j.1365-2125.2003.01968.x, 1884444, 14748811
-
Wilson AM, Thabane L, Holbrook A. Application of data mining techniques in pharmacovigilance. Br J Clin Pharmacol 2004, 57:127-134. 10.1046/j.1365-2125.2003.01968.x, 1884444, 14748811.
-
(2004)
Br J Clin Pharmacol
, vol.57
, pp. 127-134
-
-
Wilson, A.M.1
Thabane, L.2
Holbrook, A.3
-
8
-
-
26944491481
-
Perspectives on the use of data mining in pharmaco-vigilance
-
10.2165/00002018-200528110-00002, 16231953
-
Almenoff J, Tonning JM, Gould AL, Szarfman A, Hauben M, Ouellet-Hellstrom R, Ball R, Hornbuckle K, Walsh L, Yee C, et al. Perspectives on the use of data mining in pharmaco-vigilance. Drug Saf 2005, 28:981-1007. 10.2165/00002018-200528110-00002, 16231953.
-
(2005)
Drug Saf
, vol.28
, pp. 981-1007
-
-
Almenoff, J.1
Tonning, J.M.2
Gould, A.L.3
Szarfman, A.4
Hauben, M.5
Ouellet-Hellstrom, R.6
Ball, R.7
Hornbuckle, K.8
Walsh, L.9
Yee, C.10
-
9
-
-
68149124572
-
Quantitative signal detection using spontaneous ADR reporting
-
10.1002/pds.1742, 19358225
-
Bate A, Evans SJ. Quantitative signal detection using spontaneous ADR reporting. Pharmacoepidemiol Drug Saf 2009, 18:427-436. 10.1002/pds.1742, 19358225.
-
(2009)
Pharmacoepidemiol Drug Saf
, vol.18
, pp. 427-436
-
-
Bate, A.1
Evans, S.J.2
-
10
-
-
0036300732
-
Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database
-
10.2165/00002018-200225060-00001, 12071774
-
Szarfman A, Machado SG, O'Neill RT. Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database. Drug Saf 2002, 25:381-392. 10.2165/00002018-200225060-00001, 12071774.
-
(2002)
Drug Saf
, vol.25
, pp. 381-392
-
-
Szarfman, A.1
Machado, S.G.2
O'Neill, R.T.3
-
11
-
-
0031871338
-
A Bayesian neural network method for adverse drug reaction signal generation
-
10.1007/s002280050466, 9696956
-
Bate A, Lindquist M, Edwards IR, Olsson S, Orre R, Lansner A, De Freitas RM. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol 1998, 54:315-321. 10.1007/s002280050466, 9696956.
-
(1998)
Eur J Clin Pharmacol
, vol.54
, pp. 315-321
-
-
Bate, A.1
Lindquist, M.2
Edwards, I.R.3
Olsson, S.4
Orre, R.5
Lansner, A.6
De Freitas, R.M.7
-
12
-
-
34247464176
-
Data mining for signals in spontaneous reporting databases: proceed with caution
-
10.1002/pds.1323, 17019675
-
Stephenson W, Hauben M. Data mining for signals in spontaneous reporting databases: proceed with caution. Pharmacoepidemiol Drug Saf 2007, 16:359-365. 10.1002/pds.1323, 17019675.
-
(2007)
Pharmacoepidemiol Drug Saf
, vol.16
, pp. 359-365
-
-
Stephenson, W.1
Hauben, M.2
-
13
-
-
0033061701
-
Signalling possible drug-drug interactions in a spontaneous reporting system: delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole
-
10.1046/j.1365-2125.1999.00957.x, 2014250, 10383548
-
van Puijenbroek EP, Egberts AC, Meyboom RH, Leufkens HG. Signalling possible drug-drug interactions in a spontaneous reporting system: delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole. Br J Clin Pharmacol 1999, 47:689-693. 10.1046/j.1365-2125.1999.00957.x, 2014250, 10383548.
-
(1999)
Br J Clin Pharmacol
, vol.47
, pp. 689-693
-
-
van Puijenbroek, E.P.1
Egberts, A.C.2
Meyboom, R.H.3
Leufkens, H.G.4
-
14
-
-
34548608965
-
Detecting signals of drug-drug interactions in a spontaneous reports database
-
10.1111/j.1365-2125.2007.02900.x, 2048563, 17506784
-
Bharat T, Grundschober S, Doessegger L. Detecting signals of drug-drug interactions in a spontaneous reports database. Br J Clin Pharmacol 2007, 64:489-495. 10.1111/j.1365-2125.2007.02900.x, 2048563, 17506784.
-
(2007)
Br J Clin Pharmacol
, vol.64
, pp. 489-495
-
-
Bharat, T.1
Grundschober, S.2
Doessegger, L.3
-
15
-
-
0031819979
-
Association rules and data mining in hospital infection control and public health surveillance
-
61314, 9670134
-
Brossette SE, Sprague AP, Hardin JM, Waites KB, Jones WT, Moser SA. Association rules and data mining in hospital infection control and public health surveillance. J Am Med Inform Assoc 1998, 5:373-381. 61314, 9670134.
-
(1998)
J Am Med Inform Assoc
, vol.5
, pp. 373-381
-
-
Brossette, S.E.1
Sprague, A.P.2
Hardin, J.M.3
Waites, K.B.4
Jones, W.T.5
Moser, S.A.6
-
16
-
-
16544394919
-
A framework for infection control surveillance using association rules
-
Ma L, Tsui F, Hogan W, Wagner M, Ma H. A framework for infection control surveillance using association rules. 410-414.
-
-
-
Ma, L.1
Tsui, F.2
Hogan, W.3
Wagner, M.4
Ma, H.5
-
17
-
-
33745292794
-
Representing association classification rules mined from health data
-
Berlin/Heidelberg
-
Chen J, He H, Li J. Representing association classification rules mined from health data. 1225-1231. Berlin/Heidelberg.
-
-
-
Chen, J.1
He, H.2
Li, J.3
-
18
-
-
84874657302
-
Mining signals in spontaneous reports database using concept analysis
-
Berlin/Heidelberg
-
Rouane H, Toussaint Y, Valtchev P. Mining signals in spontaneous reports database using concept analysis. Berlin/Heidelberg.
-
-
-
Rouane, H.1
Toussaint, Y.2
Valtchev, P.3
-
19
-
-
0027621699
-
Mining association rules between sets of items in large databases
-
Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. SIGMOD 1993, 207-216.
-
(1993)
SIGMOD
, pp. 207-216
-
-
Agrawal, R.1
Imielinski, T.2
Swami, A.3
-
20
-
-
4544280638
-
Automated encoding of clinical documents based on natural language processing
-
10.1197/jamia.M1552, 516246, 15187068
-
Friedman C, Shagina L, Lussier Y, Hripcsak G. Automated encoding of clinical documents based on natural language processing. J Am Med Inform Assoc 2004, 11:392-402. 10.1197/jamia.M1552, 516246, 15187068.
-
(2004)
J Am Med Inform Assoc
, vol.11
, pp. 392-402
-
-
Friedman, C.1
Shagina, L.2
Lussier, Y.3
Hripcsak, G.4
-
21
-
-
84870632508
-
Unified Medical Language System
-
Unified Medical Language System. , http://www.nlm.nih.gov/research/umls/rxnorm/
-
-
-
-
22
-
-
0038931405
-
Bayesian data mining in large frequency tables, with an application to the FDA Spontaneous Reporting System
-
DuMouchel W. Bayesian data mining in large frequency tables, with an application to the FDA Spontaneous Reporting System. Am Stat 1999, 53:177-190.
-
(1999)
Am Stat
, vol.53
, pp. 177-190
-
-
DuMouchel, W.1
-
23
-
-
22644450312
-
Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System: Discussion
-
Madigan D. Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System: Discussion. Am Stat 1999, 53:198-200.
-
(1999)
Am Stat
, vol.53
, pp. 198-200
-
-
Madigan, D.1
-
24
-
-
0035700740
-
Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports
-
10.1002/pds.677, 11828828
-
Evans SJ, Waller PC, Davis S. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf 2001, 10:483-486. 10.1002/pds.677, 11828828.
-
(2001)
Pharmacoepidemiol Drug Saf
, vol.10
, pp. 483-486
-
-
Evans, S.J.1
Waller, P.C.2
Davis, S.3
-
25
-
-
84888279172
-
Micromedex® Healthcare Series [Internet database]. Greenwood Village, Colo: Thomson Reuters (Healthcare) Inc. Updated periodically
-
Micromedex® Healthcare Series [Internet database]. Greenwood Village, Colo: Thomson Reuters (Healthcare) Inc. Updated periodically. 2010,
-
(2010)
-
-
-
26
-
-
34249896410
-
`Extreme Duplication' in the US FDA Adverse Events Reporting System Database
-
10.2165/00002018-200730060-00009, 17536881
-
Hauben M, Reich L, DeMicco J, Kim K. `Extreme Duplication' in the US FDA Adverse Events Reporting System Database. Drug Safety 2007, 30(6):551-554. 10.2165/00002018-200730060-00009, 17536881.
-
(2007)
Drug Safety
, vol.30
, Issue.6
, pp. 551-554
-
-
Hauben, M.1
Reich, L.2
DeMicco, J.3
Kim, K.4
-
27
-
-
48049111575
-
A statistical methodology for drug-drug interaction surveillance
-
10.1002/sim.3247, 18344185
-
Noren GN, Sundberg R, Bate A, Edwards IR. A statistical methodology for drug-drug interaction surveillance. Stat Med 2008, 27:3057-3070. 10.1002/sim.3247, 18344185.
-
(2008)
Stat Med
, vol.27
, pp. 3057-3070
-
-
Noren, G.N.1
Sundberg, R.2
Bate, A.3
Edwards, I.R.4
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