Data Extraction and Ad Hoc Query of an Entity--Attribute--Value Database
نویسندگان
چکیده
منابع مشابه
Application of Information Technology: Data Extraction and Ad Hoc Query of an Entity - Attribute - Value Database
Entity--attribute--value (EAV) tables form the major component of several mainstream electronic patient record systems (EPRSs). Such systems have been optimized for real-time retrieval of individual patient data. Data warehousing, on the other hand, involves cross-patient data retrieval based on values of patient attributes, with a focus on ad hoc query. Attribute-centric query is inherently mo...
متن کاملData Extraction and Ad Hoc Query of an Entity– Attribute–Value Database
n J Am Med Inform Assoc. 1998;5:511–527. A clinical patient record needs to store several thousand possible facts for patients across all specialties. For any given patient, however, the number of actual findings may not exceed a few dozen. A conventional (‘‘orthodox’’) database table design (one fact per column) is unsuitable for such data, because of database vendor limitations on the number ...
متن کاملAd Hoc Attribute-Value Prediction
The evolving ease and efficiency in accessing large amounts of data presents an opportunity to execute prediction tasks based on this data (Hunt, Marin, & Stone 1964). Research in learning-from-example has addressed this opportunity with algorithms that induce either decision structures (ID3) or classification rules (AQ15). Lazy learning research on the other hand, delay the model construction ...
متن کاملPivoting approaches for bulk extraction of Entity-Attribute-Value data
Entity-Attribute-Value (EAV) data, as present in repositories of clinical patient data, must be transformed (pivoted) into one-column-per-parameter format before it can be used by a variety of analytical programs. Pivoting approaches have not been described in depth in the literature, and existing descriptions are dated. We describe and benchmark three alternative algorithms to perform pivoting...
متن کاملScalable ad-hoc entity extraction from text collections
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the “ad-hoc” entity extraction task where entities of interest are constrained to be from a list of entities that is specific to the task. In such scenarios, traditional entity extraction techniques that process all the documents for each...
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 the American Medical Informatics Association
سال: 1998
ISSN: 1067-5027,1527-974X
DOI: 10.1136/jamia.1998.0050511