Sentence examples for heterogeneous document from inspiring English sources
Our InfoBus, a CORBA-based distributed object infrastructure, unifies access to heterogeneous document collections and information processing services.
Our method achieved classification rates of 99.04% and 98.30% on the Kondate (written in Japanese) and IAMonDo (written in English) heterogeneous document databases.
Integrated search portals on the Internet are able to simultaneously search in multiple and heterogeneous document collections containing millions of documents.
Even though discharge summaries are more likely to have more sensitive PHI elements, it is difficult to draw conclusions as to the accuracy and generalizability of methods with more heterogeneous document sources and less prevalent PHI elements.
However, most systems referenced in this review paper used only one or two specific document types, such as pathology reports and discharge summaries, and only three systems evaluated performance across a more heterogeneous document corpus (Table 1).
Though many systems report promising performance on a specific document corpus used for their evaluation, these systems should be tested on a more heterogeneous document set to assess generalizability across clinical documents, various EHR systems, and de-identification of all identifiers specified by HIPAA.
These data are kept in separate heterogeneous documents and stored in independent files or databases.
ISODAC indexes heterogeneous documents up to 10.6x faster than other widely adopted solutions, such as Apache Spark.
TournaRank was experimented on several collections to evaluate our model in different contexts and to compare it with related approaches such as Learning To Rank and fusion ones: the TREC Robust2004 collection for homogeneous documents, the TREC Web2014 (collection collection for heterogeneous web documents, and the LETOR3.0 collection for comparison with supervised feature-based models.
Secondly, an approach to extract and represent semantic information for heterogeneous multimedia documents is proposed.
We experiment on a dataset of 3000 heterogeneous clinical documents to evaluate the annotation cost and the de-identification performance.
