Extracting Structured Information from Free Text Pathology Reports
Extracting Structured Information from Free Text Pathology Reports
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发表时间:
2003
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通讯作者:
Gunther Schadow;C. McDonald
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作者:
Gunther Schadow;C. McDonald
We have developed a method that extracts structured information about specimens and their related findings in free-text surgical pathology reports. Our method uses regular expressions that drive a state-automaton on top of XSLT and Java. Text fragments identified are coded against the UMLS. This paper describes the technical approach and reports on a preliminary evaluation study, designed to guide further development. We found that of 275 reviewed reports, 91% were coded at least so that all specimens and their critical pathologic findings were represented in codes.