The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Object Helloworld - One of the best experts on this subject based on the ideXlab platform.
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Unit = { Console.println("Hello there!")
2010Co-Authors: Object HelloworldAbstract:package com.mycompany.mypkg applies across the entire file scope Package "scoping " approach: Curly Brace delimited package com package mycompany package scala package dem
Adam Bertram - One of the best experts on this subject based on the ideXlab platform.
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Do the Basics
Building Better PowerShell Code, 2020Co-Authors: Adam BertramAbstract:When it comes to code, there are a lot of opinions out there about “best practices.” What one developer thinks is a must, another will refute it. But these disagreements typically happen around specific, nuanced situations like tabs vs. spaces and if a Curly Brace should go on a new line.
Eneida A. Mendoça - One of the best experts on this subject based on the ideXlab platform.
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AMIA - Adapting current Arden Syntax knowledge for an object oriented event monitor.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003Co-Authors: Jeeyae Choi, Yves A. Lussier, Eneida A. MendoçaAbstract:Arden Syntax for Medical Logic Module (MLM)1 was designed for writing and sharing task-specific health knowledge in 1989. Several researchers have developed frameworks to improve the sharability and adaptability of Arden Syntax MLMs, an issue known as “Curly Braces” problem. Karadimas et al proposed an Arden Syntax MLM-based decision support system that uses an object oriented model and the dynamic linking features of the Java platform.2 Peleg et al proposed creating a Guideline Expression Language (GEL) based on Arden Syntax’s logic grammar.3 The New York Presbyterian Hospital (NYPH) has a collection of about 200 MLMs. In a process of adapting the current MLMs for an object-oriented event monitor, we identified two problems that may influence the “Curly Braces” one: (1) the query expressions within the Curly Braces of Arden Syntax used in our institution are cryptic to the physicians, institutional dependent and written ineffectively (unpublished results), and (2) the events are coded individually within a Curly Braces, resulting sometimes in a large number of events – up to 200. (Figure 1) Figure 1 Partial view of an MLM at NYPH Methods. Arden Syntax MLMs from the Columbia Presbyterian Medical Center were loaded in a visualization tool described elsewhere4. These MLMs contained Medical Entity Dictionary (MED) codes within the Curly Braces. As a first step to improve sharability and readability of Arden Syntax MLMs in our institution, we replaced multiple MED codes within the Curly Brace with a class-based representation. We used the visualization tool for better understanding of the classes. Classes were selected based on how well they represented the events in the Curly Braces. This process generated classed-based Arden Syntax MLMs. In order to clarify the specific meaning of the query within the Curly Brace of an Arden Syntax MLM, we rewrote the institutional dependent query expression into a pseudo code. Then, the pseudo code was translated into the object-oriented expressions using the Java programming language.
Jeeyae Choi - One of the best experts on this subject based on the ideXlab platform.
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AMIA - Adapting current Arden Syntax knowledge for an object oriented event monitor.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003Co-Authors: Jeeyae Choi, Yves A. Lussier, Eneida A. MendoçaAbstract:Arden Syntax for Medical Logic Module (MLM)1 was designed for writing and sharing task-specific health knowledge in 1989. Several researchers have developed frameworks to improve the sharability and adaptability of Arden Syntax MLMs, an issue known as “Curly Braces” problem. Karadimas et al proposed an Arden Syntax MLM-based decision support system that uses an object oriented model and the dynamic linking features of the Java platform.2 Peleg et al proposed creating a Guideline Expression Language (GEL) based on Arden Syntax’s logic grammar.3 The New York Presbyterian Hospital (NYPH) has a collection of about 200 MLMs. In a process of adapting the current MLMs for an object-oriented event monitor, we identified two problems that may influence the “Curly Braces” one: (1) the query expressions within the Curly Braces of Arden Syntax used in our institution are cryptic to the physicians, institutional dependent and written ineffectively (unpublished results), and (2) the events are coded individually within a Curly Braces, resulting sometimes in a large number of events – up to 200. (Figure 1) Figure 1 Partial view of an MLM at NYPH Methods. Arden Syntax MLMs from the Columbia Presbyterian Medical Center were loaded in a visualization tool described elsewhere4. These MLMs contained Medical Entity Dictionary (MED) codes within the Curly Braces. As a first step to improve sharability and readability of Arden Syntax MLMs in our institution, we replaced multiple MED codes within the Curly Brace with a class-based representation. We used the visualization tool for better understanding of the classes. Classes were selected based on how well they represented the events in the Curly Braces. This process generated classed-based Arden Syntax MLMs. In order to clarify the specific meaning of the query within the Curly Brace of an Arden Syntax MLM, we rewrote the institutional dependent query expression into a pseudo code. Then, the pseudo code was translated into the object-oriented expressions using the Java programming language.
Yves A. Lussier - One of the best experts on this subject based on the ideXlab platform.
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AMIA - Adapting current Arden Syntax knowledge for an object oriented event monitor.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003Co-Authors: Jeeyae Choi, Yves A. Lussier, Eneida A. MendoçaAbstract:Arden Syntax for Medical Logic Module (MLM)1 was designed for writing and sharing task-specific health knowledge in 1989. Several researchers have developed frameworks to improve the sharability and adaptability of Arden Syntax MLMs, an issue known as “Curly Braces” problem. Karadimas et al proposed an Arden Syntax MLM-based decision support system that uses an object oriented model and the dynamic linking features of the Java platform.2 Peleg et al proposed creating a Guideline Expression Language (GEL) based on Arden Syntax’s logic grammar.3 The New York Presbyterian Hospital (NYPH) has a collection of about 200 MLMs. In a process of adapting the current MLMs for an object-oriented event monitor, we identified two problems that may influence the “Curly Braces” one: (1) the query expressions within the Curly Braces of Arden Syntax used in our institution are cryptic to the physicians, institutional dependent and written ineffectively (unpublished results), and (2) the events are coded individually within a Curly Braces, resulting sometimes in a large number of events – up to 200. (Figure 1) Figure 1 Partial view of an MLM at NYPH Methods. Arden Syntax MLMs from the Columbia Presbyterian Medical Center were loaded in a visualization tool described elsewhere4. These MLMs contained Medical Entity Dictionary (MED) codes within the Curly Braces. As a first step to improve sharability and readability of Arden Syntax MLMs in our institution, we replaced multiple MED codes within the Curly Brace with a class-based representation. We used the visualization tool for better understanding of the classes. Classes were selected based on how well they represented the events in the Curly Braces. This process generated classed-based Arden Syntax MLMs. In order to clarify the specific meaning of the query within the Curly Brace of an Arden Syntax MLM, we rewrote the institutional dependent query expression into a pseudo code. Then, the pseudo code was translated into the object-oriented expressions using the Java programming language.
