Information Technology Reference
In-Depth Information
Algorithm 3.
Archetype Element Nodes Mapping using SNOMED CT
MapElementNodes
(Node n)
begin
1
rootDescendants ←−
GetNodeHierarchy(
n
)
2
for
descendant ∈ rootDescendants
do
3
if
|descendant.concepts|
=0
then
4
snomedCandidateConcepts ←−
5
MapConceptByCombinedNames(
descendant.text,n.text
)
for
candidate ∈ snomedCandidateConcepts
do
6
if
|descendant.values| <>
0
then
7
values ←− descendant.values
8
mappedV aluesCount ←−
0
9
for
value ∈ values
do
10
if
GetInterpretsRelation(
value, candidate
)
<> NULL
11
then
mappedV aluesCount ←− mappedV aluesCount
+1
12
if
mappedV aluesCount > maxMappedV alues
then
13
winners ←− candidate
14
maxMappedV alues ←− mappedV aluesCount
15
if
mappedV aluesCount
=
maxMappedV alues
then
16
winners.
add(
candidate
)
17
return
winners
18
3.4 Mapping of Value Nodes
Direct Mapping to SNOMED CT.
All archetype values that have not been
mapped to some SNOMED CT in last step are mapped in this stage by applying
a “named-based” method similar to the technique used in section 3.2 over all
SNOMED CT.
3.5 Evaluation
The evaluation of mappings is the most critical part in terminology alignment
research. The ideal technique to evaluate an alignment is to match it against a
gold standard, that is, a reference alignment elaborated by a group of experts.
In previous works [16], the bindings stored in some available archetype models
[12] were used as gold standard. However, analyzing, in detail, the available
archetype models, we have detected that they are exceptional and unfinished.
So, we decided to create a gold standard by a quick manual lookup of SNOMED
CT [17], [18] [19] for all selected archetype terms. Although creating our gold
standard in this way is imperfect and not ideal, it is recommended in order to
bring to light the strengths and limitations of an approach.
4R su s
Twenty observation archetype models, consisting of a total of four hundred and
ninety-four nodes (terms), were selected from the NHS Connecting for Health
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