发明名称 METHODS AND APPARATUS FOR APPLYING USER CORRECTIONS TO MEDICAL FACT EXTRACTION
摘要 Techniques for applying user corrections to medical fact extraction may include extracting a first set of one or more medical facts from a first portion of text documenting a patient encounter. A correction to the first set of medical facts may be received from a user. The correction may identify a fact that should be associated with the first portion of the text. A second set of one or more medical facts may be extracted from a second portion of the text based at least in part on the user's correction to the first set of medical facts. Extracting the second set of facts may include extracting one or more facts similar to the identified fact from the second portion of the text.
申请公布号 US2014164023(A1) 申请公布日期 2014.06.12
申请号 US201414180525 申请日期 2014.02.14
申请人 Nuance Communications, Inc. 发明人 Yegnanarayanan Girija
分类号 G06Q50/24;G06Q10/10 主分类号 G06Q50/24
代理机构 代理人
主权项 1. A method comprising: accessing a text documenting a patient encounter; analyzing the text, using a fact extraction component implemented via at least one processor, to extract from a first portion of the text a first set of one or more medical facts representing one or more abstract semantic concepts, the extracting comprising processing the text to identify a set of one or more features of the first portion of the text, andcorrelating the set of features of the first portion of the text to the one or more abstract semantic concepts; receiving, from a user, a change to the first set of medical facts extracted from the first portion of the text, wherein the change identifies at least one user-specified abstract semantic concept; processing the user's change to update the fact extraction component based on an association between the identified at least one user-specified abstract semantic concept and the first portion of the text; and applying the updated fact extraction component, using the at least one processor, to extract a second set of one or more medical facts from a second portion of the text, wherein applying the updated fact extraction component comprises extracting one or more facts similar to the identified at least one user-specified abstract semantic concept from the second portion of the text.
地址 Burlington MA US