| Literature DB >> 24211018 |
Barry Robson1, Thomas P Caruso, Ulysses G J Balis.
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.Keywords: Bayes inference; Best practice; Dirac; Hyperbolic complex algebra; Probabilistic knowledge representation; Semantic networks
Mesh:
Year: 2013 PMID: 24211018 DOI: 10.1016/j.compbiomed.2013.09.010
Source DB: PubMed Journal: Comput Biol Med ISSN: 0010-4825 Impact factor: 4.589