Lexically Suggest, Logically Define: QA of Qualifiers - PowerPoint PPT Presentation

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Lexically Suggest, Logically Define: QA of Qualifiers

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Lexically Suggest, Logically Define: QA of Qualifiers & Expected Results of Post-Coordination in SNOMED CT Alan Rector & Luigi Iannone with thanks to Robert Stevens – PowerPoint PPT presentation

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Title: Lexically Suggest, Logically Define: QA of Qualifiers


1
Lexically Suggest, Logically DefineQA of
Qualifiers Expected Results of
Post-Coordinationin SNOMED CT
http//dx.doi.org/10.1016/j.jbi.2011.10.002
  • Alan Rector Luigi Iannonewith thanks to Robert
    Stevens
  • BioHealth Informatics GroupSchool of Computer
    Science Northwest Institute of BioHealth
    InformaticsUniversity of Manchester, Manchester
    M13 9PLrector_at_cs.manchester.ac.uk

2
Pre-coordination and post-coordination
  • Pre-coordination
  • SNOMED authors define Acute bronchitis
  • Classifier creates correct hierarchy
  • Clinical user enters Acute bronchitis (or its
    code)
  • Post-coordination
  • Clinical user enters Bronchitis Acute
  • Classifier finds any equivalent term or places
    the expression in the right place in the
    hierarchy
  • Concept does not need to exist beforehand,
    e.g.Might define Acute Bronchitis Right
    main stem bronchus
  • Would still be in the correct place in hierarchy
    even if no term exists.

3
Can SNOMED post-coordination work?Do SNOMED
authors pre-coordinate consistently?
  • Two related questions?
  • Are SNOMED qualified expressions expressed
    consistently?
  • If SNOMED authors dont do it consistently, can
    anyone else?
  • Proxies In either case
  • The definitions should allow the description
    logic classifier to organize the hierarchies
    correctly
  • Includes determining equivalence between pre- and
    post- coordinated forms
  • Necessary but not sufficient for
    post-coordination to work
  • For post coordination, must be well defined
    consistent patterns that users software
    develpers understand

4
First try
  • Take a simple case acute and chronic
  • Look at the pattern SNOMED uses to defineAcute
    disease and Chronic disease
  • Follow Campbell, Tuttle, Spackman and see how
    many diseases named Acute or Chronic are
    retrieved under the pattern

5
Definition of acute chronic
  • Chronic disease Disease (RoleGroup some
    (Clinical course some Chronic))
  • broaden to
  • Chronic finding Clinical finding
    (RoleGroup some (Clinical course
    some Chronic))
  • similarly for Acute
  • fully specified name Sudden onset AND/OR
    short duration

6
Write a script to check for candidates in OPPL2
  • Requires
  • Lexical match
  • Description logic/OWL semantics -- open world,
    negation as provably false
    DL Reasoner
  • Query semantics -- closed world, negation as
    failure over concepts in corpus
  • Procedural semantics add things to ontology
  • ?CCLASSMATCH("'Chronic.")
    ? LexicalSELECT ?C SubClassOf
    'Clinical finding (finding)' ? DL
    SemanticsWHERE FAIL ?C SubClassOf Chronic
    clinical finding (finding) ? Query
    SemanticsBEGIN ADD ?C SubClassOf Candidate
    ?
    Procedural END


7
Next, classify candidatesonly top-level ones
need be examined
  • If a concepts definition is changed, the change
    will be inherited by all descendants
  • What did we find?
  • 25-30 of all lexical matches were Candidate
    errors,but there were cases where
  • Acute and Chronic clearly no longer can be
    taken literally
  • Chronic and acute leukemias and
    myeloproliferative disorders
  • So exclude them from candidates

8
Then remaining candidates not classified as
Chronic findings
  • Why?
  • Systematic?
  • or
  • Accidental?

9
Look at definitions
  • Systematic
  • Chronic duodenal ulcer Duodenal ulcer
    disease and RoleGroup some ( Associated
    morphology some Chronic ulcer (morphologic
    abnormality) ?
  • and Finding site some Duodenal
    structure)))
  • Compare with
  • Chronic disease Disease (RoleGroup some
    (Clinical course some Chronic))

    ?
  • Different qualifiers
  • Associated morphology
  • Clinical course

10
Different qualifiers
  • User guide says
  • Acute chronic may be morphological
  • Chronic inflammation means mononuclear cell
    infiltration
  • Acute inflammation means polymorphonuclear cell
    infiltration
  • For ulcers
  • Chronic ulcer (morphological abnormality) is a
    kind of Chronic inflammation (morphological
    abnormality)
  • But users must understand
  • Acute and chronic ulcers are defined by
    Associated morphology,
  • Acute obstruction is defined by Clinical course,
  • Chronic cholecystitis by both!
  • Are these the consequences we want?
  • Does this correspond to use in clinical care?
  • Do we have evidence?
  • Should pathology take precedence over clinical
    observation?

11
Late discoveryChronic inflammatory diseaseis
defined as have both qualifiers!
  • Chronic inflammatory disease Chronic
    disease RoleGroup some ( Associated
    morphology some Chronic inflammatory morphology)
    RoleGroup some ( Clinical
    course some Chronic )
  • Means
  • Classifier will chronic inflammatory disease only
    if you have both
  • Or that author asserts directly is a descendant
    of Chronic inflammatory disease
  • To get post-coordination to work you have to use
    both!
  • Will anyone remember to do so?
  • Obviously not all SNOMED authors,

12
but even authors dont, so Many
inflammations (itis) are missed
  • Authors have done some directly and not others
  • Helter skelter / Mish mash modelling
  • Systematic inconsistency
  • What using a description logic is meant to avoid

13
One solution
  • Change the axioms so that any disease with
    chronic inflammatory morphology has a chronic
    course
  • Still within SNOMEDs DL EL/OWL-EL
  • SNOROCKET still classifies it efficiently
  • Or vice versa for all inflammatory diseases with
    chronic course
  • Chronic course inflammatory morphology ?
    Chronic inflammatory morphology

14
How should the decision be made?How monitored?
  • New axiom may or may not be strictly true, but
  • What are the consequences?
  • For accuracy of authoring?
  • For accuracy of retrieval?
  • For consistency of setting value sets?
  • For post-coordination?
  • For meaninful use?
  • Base decisions on evidence of consequences
  • Evidence-based terminologies / ontologies
  • Whatever the decision, need a QA process to
    enforce and check it

15
How big is the problem?
  • In a module based on the UMLS CORE Problem list
    subset
  • 368 total chronic 450 total acute
  • 103 (28) chronic / 92 ( 20) Acute were
    candidates,of these
  • Due to use of morphology only85 (83) chronic /
    92 (85) Acute
  • Due to simple errors and omissions18 (17)
    chronic / 14 (15)

16
Other issues (See paper)
  • Hierarchy of qualifiers
  • Should Intermittent (course) be a kind of
    chronic (course)?
  • What about intermittent acute pain?
  • Pressure ulcers and decubitous ulcers are all
    chronic by definition
  • Can there be an acute pressure ulcer?
  • Odd anatomy
  • Lower back pain is a kind of Abdominal pain
  • Because the lower back is part of the
    abdominal wall is part of the abdomen
  • (Anatomy under review by SNOMED)

17
You have to use a classifier
  • This work can only be done by using a classifier
    to find inferences
  • Post-coordination depends on the classifier
  • To work efficiently, the classifier must be fast
  • For iterative analysis, lt 1 min
  • SNOROCKET in Protege is very fast and reliable
  • But still works better on modules than all of
    SNOMED

18
Use of modules makes this possible
  • A signature is a subset of the entities in a
    description logic/OWL KB
  • A module for a signature is a subset of the
    axioms entities in the KB such that
  • All inferences amongst entities in the signature
    can be inferred from the module
  • For the UMLS CORE Problem List Subset
  • SNOMED Size 300,000
  • Classification time 2-8 minutes
  • Signature (UMLS CORE Subset) 8500
  • Module extracted 35,000
  • Classification time .25 2 minutes
  • Also methods for extracting the changes and
    applying them to the whole
  • Re-apply final methods to whole corpus if require
  • Total effort for this study lt 2 person weeks

19
Summary
  • Lexical suggest, semantically define works to
    raise issues
  • Post coordination of acute and chronic unlikely
    to workreliably, unless
  • SNOMED makes pattern consistent
  • Bases decisions on consequences for use in
    patient care
  • Are patient care clinicians likely to align with
    pathology in the ED?
  • Other Findings
  • Working on modules makes analysis of SNOMED
    practical
  • There are problems in the anatomy and qualifier
    hierarchies
  • Questions
  • How many other such problems are there?
  • How do they affect post-coordination?
  • How to establish QA procedures to find out and
    prevent recurrence?

http//dx.doi.org/10.1016/j.jbi.2011.10.002
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