Automatic Detection of Adverse Events to Predict Drug Label Changes Using Text and Data Mining Techniques

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

39 Citations (Scopus)

Original language	Undefined/Unknown
Pages (from-to)	1189-1194
Number of pages	6
Journal	Pharmacoepidemiology and Drug Safety
Volume	22
Issue number	11
DOIs	https://doi.org/10.1002/pds.3493
Publication status	Published - 2013

Research programs

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title = "Automatic Detection of Adverse Events to Predict Drug Label Changes Using Text and Data Mining Techniques",

author = "H Gurulingappa and L Toldo and AM Rajput and Jan Kors and A Taweel and Y Tayrouz",

year = "2013",

doi = "10.1002/pds.3493",

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volume = "22",

pages = "1189--1194",

journal = "Pharmacoepidemiology and Drug Safety",

issn = "1053-8569",

publisher = "John Wiley \& Sons Ltd.",

number = "11",

}

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T1 - Automatic Detection of Adverse Events to Predict Drug Label Changes Using Text and Data Mining Techniques

AU - Gurulingappa, H

AU - Toldo, L

AU - Rajput, AM

AU - Kors, Jan

AU - Taweel, A

AU - Tayrouz, Y

PY - 2013

Y1 - 2013

U2 - 10.1002/pds.3493

DO - 10.1002/pds.3493

M3 - Article

C2 - 23935003

SN - 1053-8569

VL - 22

SP - 1189

EP - 1194

JO - Pharmacoepidemiology and Drug Safety

JF - Pharmacoepidemiology and Drug Safety

IS - 11

ER -