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Use of text-mining methods to improve efficiency in the calculation of drug exposure to support pharmacoepidemiology studies
International Journal of Epidemiology ( IF 7.7 ) Pub Date : 2018-02-06 , DOI: 10.1093/ije/dyx264
Stuart McTaggart 1 , Clifford Nangle 1, 2 , Jacqueline Caldwell 1, 2 , Samantha Alvarez-Madrazo 2, 3 , Helen Colhoun 2, 4 , Marion Bennie 1, 2, 3
Affiliation  

Efficient generation of structured dose instructions that enable researchers to calculate drug exposure is central to pharmacoepidemiology studies. Our aim was to design and test an algorithm to codify dose instructions, applied to the NHS Scotland Prescribing Information System (PIS) that records about 100 million prescriptions per annum.

中文翻译:

使用文本挖掘方法提高药物暴露计算效率,以支持药物流行病学研究

高效生成结构化剂量说明,使研究人员能够计算药物暴露量,这是药物流行病学研究的核心。我们的目标是设计和测试一种算法来编纂剂量说明,并将其应用于每年记录约 1 亿张处方的 NHS 苏格兰处方信息系统 (PIS)。
更新日期:2018-02-06
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