期刊论文详细信息
Statistical Analysis and Data Mining | |
A pattern discovery framework for adverse event evaluation and inference in spontaneous reporting systems | |
Robert Ball1  Marianthi Markatou2  | |
[1] Office of Biostatistics and Epidemiology Center for Biologics Evaluation and Research, Food and Drug Administration Rockville MD 20852 USA;T. J. Watson Research Center IBM Yorktown Heights NY USADepartment of Biostatistics, School of Public Health and Health Professions SUNY Buffalo Buffalo NY 14216 USA | |
关键词: pattern discovery; inference; probability models; pharmacovigilance; anaphylaxis; copulas; similarity/distance functions; | |
DOI : 10.1002/sam.11233 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: John Wiley & Sons, Inc. | |
【 摘 要 】
Abstract Safety of medical products is a major public health concern. We present a critical discussion of the currently used analytical tools for mining spontaneous reporting systems (SRS) to identify safety signals after use of medical products. We introduce a pattern discovery framework for the analysis of SRS. The terminology `pattern discovery' is borrowed from the engineering and artificial intelligence literature and signifies that the basis of the proposed framework is the medical case,.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201904044516028ZK.pdf | 46KB | download |