title: Suggestions for a Web based universal exchange and inference language for medicine.
abstract: Mining biomedical and pharmaceutical data generates huge numbers of interacting probabilistic statements for inference, which can be supported by mining Web text sources. This latter can also be probabilistic, in a sense described in this report. However, the diversity of tools for probabilistic inference is troublesome, suggesting a need for a unifying best practice. Physicists often claim that quantum mechanics is the universal best practice for probabilistic reasoning. We discuss how the Dirac notation and algebra suggest the form and algebraic and semantic meaning of XML-like Web tags for a clinical and biomedical universal exchange language formulated to make sense directly to the eye of the physician and biomedical researcher.
authors.affiliation: Quantal Semantics Inc, North Carolina, United States; St. Matthew's University School of Medicine, Grand Cayman, The Dirac Foundation, UK, University of Wisconsin-Stout, United States. Electronic address: robsonb@aol.com.
authors.forename: Barry
authors.initials: B
authors.lastname: Robson
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Caruso
authors.forename: Ulysses G J
authors.initials: UG
authors.lastname: Balis
mesh_terms: D035843:Biomedical Research; D057225:Data Mining / Q000379:methods*; D006801:Humans; D020407:Internet; D012660:Semantics; D017432:Unified Medical Language System
keywords: Bayes inference; Best practice; Dirac; Hyperbolic complex algebra; Probabilistic knowledge representation; Semantic networks