Monitoring of Technology Adoption Using Web Content Mining of Location Information and Geographic Information Systems: A Case Study of Digital Breast Tomosynthesis

被引:1
|
作者
Onega, Tracy [1 ]
Kamra, Dharmanshu [1 ]
Alford-Toaster, Jennifer [1 ]
Hassanpour, Saeed [1 ,2 ]
机构
[1] Dartmouth Coll, Geisel Sch Med, 1 Med Ctr Dr, Lebanon, NH 03756 USA
[2] Dartmouth Coll, Hanover, NH 03756 USA
来源
基金
美国国家卫生研究院;
关键词
D O I
10.1200/CCI.17.00150
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose To our knowledge, integration of Web content mining of publicly available addresses with a geographic information system (GIS) has not been applied to the timely monitoring of medical technology adoption. Here, we explore the diffusion of a new breast imaging technology, digital breast tomosynthesis (DBT). Methods We used natural language processing and machine learning to extract DBT facility location information using a set of potential sites for the New England region of the United States via a Google search application program interface. We assessed the accuracy of the algorithm using a validated set of publicly available addresses of locations that provide DBT from the DBT technology vendor, Hologic. We quantified precision, recall, and F1 score, aiming for an F1 score of >= 95% as the desirable performance. By reverse geocoding on the basis of the results of the Google Maps application program interface, we derived a spatial data set for use in an ArcGIS environment. Within the GIS, a host of spatiotemporal analyses and geovisualization techniques are possible. Results We developed a semiautomated system that integrated DBT location information into a GIS that was feasible and of reasonable quality. Initial accuracy of the algorithm was poor using only a search term list for information retrieval (precision, 35%; recall, 44%; F1 score, 39%), but performance dramatically improved by leveraging natural language processing and simple machine learning techniques to isolate single, valid instances of DBT location information (precision, 92%; recall, 96%; F1 score, 94%). Reverse geocoding yielded reliable geographic coordinates for easy implementation into a GIS for mapping and planned monitoring. Conclusion Our novel approach can be applicable to technologies beyond DBT, which may inform equitable access over time and space. (C) 2018 by American Society of Clinical Oncology
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页码:1 / 10
页数:10
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