Using natural language processing to extract mammographic findings
نویسندگان
چکیده
منابع مشابه
Using Natural Language Processing to Improve eRulemaking
This paper describes in brief Cornell’s interdisciplinary eRulemaking project that was recently funded (December, 2005) by the National Science Foundation.
متن کاملFinding the findings: identification of findings in medical literature using restricted natural language processing.
The ability to search the biomedical literature based on findings would provide enhanced access to information. We describe a computer program called FINDX which relies on the UMLS Metathesuaurus and restricted natural language processing to identify findings in free text. Such identification can serve as a filtering mechanism while selecting relevant papers. After discussing the salient charac...
متن کاملThe feasibility of using natural language processing to extract clinical information from breast pathology reports
OBJECTIVE The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural language processing has been designed to convert free text into machine readable data. The aim of the current study was to ascertain the feasibility of using natural language...
متن کاملUsing Natural Language Processing to Extract Drug-Drug Interaction Information from Package Inserts
The package insert (aka drug product label) is the only publicly-available source of information on drug-drug interactions (DDIs) for some drugs, especially newer ones. Thus, an automated method for identifying DDIs in drug package inserts would be a potentially important complement to methods for identifying DDIs from other sources such as the scientific literature. To develop such an algorith...
متن کاملFrom NLP (Natural Language Processing) to MLP (Machine Language Processing)
Natural Language Processing (NLP) in combination with Machine Learning techniques plays an important role in the field of automatic text analysis. Motivated by the successful use of NLP in solving text classification problems in the area of e-Participation and inspired by our prior work in the field of polymorphic shellcode detection we gave classical NLP-processes a trial in the special case o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2015
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2015.01.010