CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
نویسندگان
چکیده
منابع مشابه
An Interactive Tool for Natural Language Processing on Clinical Text
Natural Language Processing (NLP) systems often make use of machine learning techniques that are unfamiliar to endusers who are interested in analyzing clinical records. Although NLP has been widely used in extracting information from clinical text, current systems generally do not support model revision based on feedback from domain experts. We present a prototype tool that allows end users to...
متن کاملIKE - An Interactive Tool for Knowledge Extraction
Recent work on information extraction has suggested that fast, interactive tools can be highly effective; however, creating a usable system is challenging, and few publically available tools exist. In this paper we present IKE, a new extraction tool that performs fast, interactive bootstrapping to develop high-quality extraction patterns for targeted relations. Central to IKE is the notion that...
متن کاملdevelopment and implementation of an optimized control strategy for induction machine in an electric vehicle
in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...
15 صفحه اولResearch and applications: MedXN: an open source medication extraction and normalization tool for clinical text
OBJECTIVE We developed the Medication Extraction and Normalization (MedXN) system to extract comprehensive medication information and normalize it to the most appropriate RxNorm concept unique identifier (RxCUI) as specifically as possible. METHODS Medication descriptions in clinical notes were decomposed into medication name and attributes, which were separately extracted using RxNorm dictio...
متن کاملInformation extraction from biomedical text
Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. It requires deeper analysis than key word searches, but its aims fall short of the very hard and long-term problem of full text understanding. Information extraction represents a midpoint on this spectrum, where the aim is to capture structured ...
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: BMC Medical Informatics and Decision Making
سال: 2020
ISSN: 1472-6947
DOI: 10.1186/s12911-020-01330-8