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mapping natural language to concepts and vv; mapping concepts to medical classification schemes; management of extrinsic information; The main purpose of a clinical terminology server is to allow the consistent and comparable entry of clinical data, e.g. patient observations, findings and events.
One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
Server-side validation Spring: Java: Yes Yes Push Yes Hibernate, iBatis, more Mock objects, unit tests Spring Security (formerly Acegi) JSP, Commons Tiles, Velocity, Thymeleaf, more Ehcache, more Commons validator, Bean Validation: Stripes: Java Yes Yes Pull Yes JPA, Hibernate Yes framework extension Yes Yes Vaadin: Java GWT: Push-pull Yes Yes ...
While client/server utilized the same programming language, MAGIC runs all code on a central server, and clients are in effect dumb terminals. Client/server executes the code on a user's PC, although all code remained centralized. Client-server supports only Microsoft Windows-based operating systems. Meditech announced its version 6.0 in 2006.
To model pages, hyperlinks, and dynamic content on the client and server side. For modeling server side aspects of web page with one class and client side aspect with another and distinguishing the two by using UML's extension mechanism to define stereotype's and icons for each server and client page. Stereotypes in UML are used to define new ...
This is a list of free software which can be used to run alternative web applications. Also listed are similar proprietary web applications that users may be familiar with. Most of this software is server-side software, often running on a web server.
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Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [51] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [52]