Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples

被引：0

作者：

Robert Chen

Joyce C. Ho

Jin-Mann S. Lin

机构：

[1] Chronic Viral Diseases Branch,Department of Computer Science

[2] Division of High-Consequence Pathogens and Pathology,undefined

[3] National Center for Emerging and Zoonotic Infectious Diseases,undefined

[4] Centers for Disease Control and Prevention,undefined

[5] School of Medicine,undefined

[6] Emory University,undefined

[7] Emory University,undefined

来源：

BMC Medical Research Methodology | / 20卷

关键词：

Automation; Data extraction; Unstructured data; Medication; Natural language processing; Mylagic encephalomyelitis/chronic fatigue syndrome (ME/CFS); Co-morbidity; Population; Tertiary;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 27 条

[1]

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[2]

Masanz JJ(2017)Natural language processing to extract symptoms of severe mental illness from clinical text: the clinical record interactive search comprehensive data extraction (CRIS-CODE) project BMJ Open 7 e012012-626

[3]

Ogren PV(2017)Multi-site clinical assessment of Myalgic encephalomyelitis/chronic fatigue syndrome (MCAM): design and implementation of a prospective/retrospective rolling cohort study Am J Epidemiol 185 617-51

[4]

Zheng J(2016)Methods of applying the 1994 case definition of chronic fatigue syndrome – impact on classification and observed illness characteristics Popul Health Metrics 14 5-undefined

[5]

Sohn S(1993)The unified medical language system Yearbook Med Informatics 2 41-undefined

[6]

Kipper-Schuler KC(undefined)undefined undefined undefined undefined-undefined

[7]

Jackson RG(undefined)undefined undefined undefined undefined-undefined

[8]

Patel R(undefined)undefined undefined undefined undefined-undefined

[9]

Jayatilleke N(undefined)undefined undefined undefined undefined-undefined

[10]

Kolliakou A(undefined)undefined undefined undefined undefined-undefined

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