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25 Questions and 5 Remarks on the “Medical Fact Net” Vision

25 Questions and 5 Remarks on the “Medical Fact Net” Vision. Udo Hahn. A New Text Genre: Fact Statements. Grammatically correct, syntactically simple sentences (“base sentences”) Sentences are self-contained: No reference to linguistic context Understandable by non-experts

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25 Questions and 5 Remarks on the “Medical Fact Net” Vision

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  1. 25 Questions and 5 Remarks onthe “Medical Fact Net” Vision Udo Hahn

  2. A New Text Genre:Fact Statements • Grammatically correct, syntactically simple sentences (“base sentences”) • Sentences are self-contained: No reference to linguistic context • Understandable by non-experts (“average adult consumer of healthcare services”) • Accredited as being true • .

  3. A New Text Genre:Fact Statements • Grammatically correct, syntactically simple sentences (“base sentences”) • Restricted expressibility • Sentences are self-contained: No reference to linguistic context • Understandable by non-experts (“average adult consumer of healthcare services”) • Classes of non-experts • Previous knowledge • Intellectual capabilities • What level of understanding? • Self-assignment considered harmful for comprehension • Accredited as being true • Is there a single medical truth? (Who certifies? EBM Council?)

  4. Knowledge Representation • How are interrelations between fact statements represented? • What about medical knowledge that cannot be expressed in a way understandable, intelligible by non-experts? • Can facts really be distinguished from beliefs on a 5-point assessment scale?

  5. Knowledge Base System • What kind of update policies are envisaged (changes in medical knowledge: new & shift)? • User Interface issues: • How is MFN accessed? • Is there a dedicated query language? • Will there be links to authoritative sources, e.g., the UMLS? • Views? • Partitions?

  6. Lexical Knowledge Engineering • Interfacing WordNet (layperson’s general language) and UMLS resources (expert-level sublanguage) by term overlap (merely)? • “SARSlayperson” ?= “SARSexpert” ? • “chickenpoxlayperson” ?= “Varicella infectionexpert” ? • Folk vs. expert conceptualization • Granularity (basic level concepts vs. expert stratification) • Different topologies of concept graphs • MFN inherits the formal architecture of PWN • Repertoire of relations might be inadequate • If enhanced, will it proliferate? • Who cares about the semantics of relations?

  7. Size • If there are 1 to 1.5M concepts and 11M relation instances in the UMLS, how many fact statements are there, which may compare to the coverage of the UMLS ? • Can such a huge number (>> 11M) be manually generated and maintained? Should it, at all?? • Is the transitive closure of fact statements explicitly enumerated, or can computational processes be invoked? (making implicit knowledge explicit, *on demand*) • From “Drugs treat diseases” … … to … “Aspirin treats headache”

  8. On Discovery Procedures • What are the sources for eliciting what kinds of fact statements (representativeness of the sample)? • Consistency metrics (kappa-style) for (how many?) fact statement workers? • Which kind of consistency is measured: competence, layperson/expert axis, linguistic form of statements, …? • Criteria for assessing fact statements: • (Partial) overlap • Completeness (relative to which ground truth?) • General-specific interval • In/consistency • are there semi-true statements? • how about undecidables?

  9. 25 Questions and 5 Remarks onthe “Medical Fact Net” Vision Udo Hahn

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