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Table 2 The 18 top-level classes in SNOMED CT and their frequency distribution
"... In PAGE 3: ... The version used in this study (31 January 2004) contains 269,864 classes,5 named by 407,510 names.6 The first level is sub- divided into 18 classes listed in Table2 with their frequency distribution. Each SNOMED CT class has a description7 consist- ing of a variable number of elements.... ..."
Table 1: Domain content coverage of reportable events with SNOMED CT.
2005
"... In PAGE 4: ... More than 570 additional concepts were added to the knowledge- base to construct the class hierarchies. Content and relation to vocabulary standards Concepts in the class hierarchies were mapped to SNOMED-CT and summary results are presented for events reportable in at least one jurisdiction ( Table1 ). In general, SNOMED-CT provides extensive domain cover- age, particularly for the reportable diseases, infectious agents, and substances.... ..."
Table 1. Logical di erence between two Snomed ct versions
"... In PAGE 3: ... Logical di erence between SM-05 and SM-06. Table1 shows the average time and memory consumption of CEX computing the lists Di R (SM-05; SM-06) and Di L (SM-05; SM-06) and vice versa for 20 randomly generated signatures of size 100, 1 000, etc. The average size of the sets Di R (SM-05; SM-06)... In PAGE 9: ...able 2. Average and std. deviation de nition-closed and semantic modules 5 Combining CEX and MEX In this section, we show that MEX can be used to speed-up the computation of the logical di erence between TBoxes. The left hand side of Table 3 is taken from Table1 while its right hand side shows the average time and memory consumption of computing the same lists, but here we rst use MEX to extract semantic -modules T0 and T1 from SM-05 and SM-06, respectively, and then CEX computes Di R (T0; T1) and Di L (T0; T1). Though CEX is already very e cient, the results show that the latter procedure is even faster and gives results almost instantaniously for small .... ..."
Table 2: Occurrences of snomed-tagged lemmas.
1997
"... In PAGE 3: ...rox. 12500 terms). We then projected these categories on the lemmas on the CC/KC nodes. Table2 shows,for the NP sub-corpus, the number of categorized lemmas per snomed category and the corresponding number of occurrences according to AlethIPGN and Lexter. Our hope that a CC would group together lemmas that belong to a common semantic category was widely confirmed.... ..."
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Table 3-5 identifies each of the survey and/or analytical methods that may be used to provide the required information needed to resolve each of the decision statements. The possible limitations associated with each of these methods are also provided with the estimated cost.
1996
"... In PAGE 32: ... 3.1 INFORMATION REQUIRED TO RESOLVE DECISION STATEMENTS Table3 -1 specifies the information (data) required to resolve each of the decision statements identified in Table 2-1 and identifies whether the data already exist. For the data that are identified as existing, the source references for the data have been provided, along with a qualitative assessment as to whether or not the data are of sufficient quality to resolve the corresponding decision statement.... In PAGE 32: ...n the evaluation of the corresponding quality control data (e.g., spikes, duplicates, and blanks), detection limits, data collection methods, etc. Table3 -1. Required Information and Reference Sources.... In PAGE 33: ...2 BASIS FOR SETTING THE ACTION LEVEL The action level is the threshold value that provides the criterion for choosing between alternative actions. Table3 -2 identifies the basis (e.g.... In PAGE 33: ... The numerical value for the action level is defined in DQO Step 5. Table3 -2. Basis for Setting Action Level.... In PAGE 33: ... TBD = to be determined 3.3 COMPUTATIONAL AND SURVEY/ANALYTICAL METHODS Table3 -3 identifies the decision statements where existing data either do not exist or are of insufficient quality to resolve the decision statements. For these decision statements, Table 3-3 presents computational and/or surveying/sampling methods that could be used to obtain the... In PAGE 34: ...Rev. 0 3-3 Table3 -3. Information Required to Resolve the Decision Statements.... In PAGE 34: ... b RCF analysis. HPGe = high-purity germanium NaI = sodium iodide RCF = Radiological Counting Facility Table3 -4 presents details on the computational methods identified in Table 3-3. These details include the source and/or author of the computational method and information on how the method could be applied to this study.... In PAGE 34: ... These details include the source and/or author of the computational method and information on how the method could be applied to this study. Table3 -4. Details on Identified Computational Methods.... In PAGE 35: ...Rev. 0 3-4 Table3 -5. Potentially Appropriate Survey/Analytical Methods.... In PAGE 35: ...) Access to fill material during and after removal High background levels Not a consideration in this evaluation Variance of radionuclides in the fill Soil sampling for HPGe analysis Radiological activity of the fill material Sampling and SFL laboratory analysis 2 Chemical COC concentrations in the fill material Sampling and SFL laboratory analysis Access to fill material during and after removal 3.4 ANALYTICAL PERFORMANCE REQUIREMENTS Table3 -6 defines the analytical performance requirements for the data that need to be collected to resolve each of the decision statements. These performance requirements include the PQL and precision and accuracy requirements for each of the COCs.... In PAGE 35: ... These performance requirements include the PQL and precision and accuracy requirements for each of the COCs. Table3 -6. Analytical Performance Requirements.... In PAGE 36: ...Rev. 0 3-5 Table3 -6. Analytical Performance Requirements.... ..."
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Table 3. Logical di erence between semantic modules of two Snomed ct versions
"... In PAGE 9: ...able 2. Average and std. deviation de nition-closed and semantic modules 5 Combining CEX and MEX In this section, we show that MEX can be used to speed-up the computation of the logical di erence between TBoxes. The left hand side of Table3 is taken from Table 1 while its right hand side shows the average time and memory consumption of computing the same lists, but here we rst use MEX to extract semantic -modules T0 and T1 from SM-05 and SM-06, respectively, and then CEX computes Di R (T0; T1) and Di L (T0; T1). Though CEX is already very e cient, the results show that the latter procedure is even faster and gives results almost instantaniously for small .... ..."
Table 2: Summary of the translations NT [[Ct]] translates the C type Ct to a MOBY type name. NM[[Ct]] translates the C type Ct to a MOBY module name.
2001
"... In PAGE 6: ... The implementation contains BOL bindings for the abstract types, BOL implementations for the necessary data-manipulation operations, and BOL terms to access external variables and functions. We summarize the various translation functions that collectively map C header files to such MOBY modules in Table2 . Figure 2 illustrates these functions and their relationships.... ..."
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Table 2: Summary of the translations NT [[Ct]] translates the C type Ct to a MOBY type name. NM[[Ct]] translates the C type Ct to a MOBY module name.
2001
"... In PAGE 6: ... The implementation contains BOL bindings for the abstract types, BOL implementations for the necessary data-manipulation operations, and BOL terms to access external variables and functions. We summarize the various translation functions that collectively map C header files to such MOBY modules in Table2 . Figure 2 illustrates these functions and their relationships.... ..."
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Table #2.5-2. The eighteen top-level concepts in SNOMED CT and their frequency distribution Top-level concepts Frequency
2005
Cited by 2
Table 2. Evaluation of the Quality of the Mapping between each Group of SNOMED Concepts associated to each Concept of Phenoslim Validity of the Mapping to a Cluster of SNOMED Concepts
2004
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