Evidence-based practice is defined as the “integration of the best research evidence with clinical expertise and patient values” (Sackett et al., 2000. p1). Central to this definition are both the development of an evidence base and the use of that evidence in practice to inform decision-making. It is widely acknowledged that the evidence base of physical therapy is improving, with for example,...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 introduction: since, accurate, appropriate, precise, timely, valid information, and valid interpretation of information is required and the basis for policy and decision making and planning in various levels of the organization management, this study was conducted to evaluate the district health information system evolutio...

This paper describes the SDC PUNDIT, (Prolog UNDerstands Integrated Text), system for processing natura l language messages. 1 PUNDIT, written in Prolog, is a highly modular system consisting of distinct syntactic, semantic and pragmatics components. Each component draws on one or more sets of data, including a lexicon, a broad-coverage grammar of EngLish, semantic verb decompositions, rules ma...

CZSaw [1] is a visual analytics tool for sense-making across entities, documents, and relations with a focus on supporting the analysis process. It uses a variety of flexible data visualizations to represent and explore networks of entities and relations from different perspectives. CZSaw supports clustering documents and entities into smaller groups to make sense of them and weave individual f...

Such financial entities (FNEs – Financial Named Entities, numerical entities, and semantic tags) are useful to multiple audiences. On one hand these extracted financial concepts are useful to analysts and internal users who can benefit from a simplified overview of the financial health of a company and in writing financial reports and making budgetary decisions; on the other, it will help consu...

Knowledge base completion (KBC) aims to predict missing information in a knowledge base. In this paper, we address the out-of-knowledge-base (OOKB) entity problem in KBC: how to answer queries concerning test entities not observed at training time. Existing embedding-based KBC models assume that all test entities are available at training time, making it unclear how to obtain embeddings for new...

We report on the re-annotation of selected types of named entities from the MUC7 corpus where our focus lies on recording the time it takes to annotate these entities given two basic annotation units – sentences vs. complex noun phrases. Such information may be helpful to lay the empirical foundations for the development of cost measures for annotation processes based on the investment in time ...

Why care about what emergence is, and whether there is any? To start, many complex entities of our acquaintance—tornados, plants, people and the like—appear to be composed of less complex entities, and to have features which depend, one way or another, on features of their composing entities. Yet such complex entities also appear to be to some extent autonomous, both ontologically and causally,...

In this study the problem of visualizing uncertainty in sensed data for manufacturing applications is discussed. Constructing geometric models for the objects from sense data is the intermediate step in a reverse engineering manufacturing system. Sensors are usually inaccurate, providing uncertain sense information. We construct geometric entities with uncertainty models for the objects under c...