Global guided interactive diagnosis through dynamic taxonomies

A system for computer-aided guided interactive diagnosis is presented. It is based on dynamic taxonomies, a knowledge management model that allows the guided interactive exploration of complex information bases. Clinical diagnosis is performed by exploring and thinning out candidate pathologies on the basis of clinical signs and other observable features in a guided yet practitioner-centered way. Early experience with this approach is discussed in terms of opportunities for a global approach to diagnosis and treatment.

[1]  Pietro Torasso,et al.  A Theory of Diagnosis for Incomplete Causal Models , 1989, IJCAI.

[2]  Edward H. Shortliffe,et al.  Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .

[3]  Patrick Brézillon,et al.  Context in problem solving: a survey , 1999, The Knowledge Engineering Review.

[4]  Giovanni Maria Sacco,et al.  e-RARE: Interactive Diagnostic Assistance for Rare Diseases through Dynamic Taxonomies , 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

[5]  Giovanni Maria Sacco Research Results in Dynamic Taxonomy and Faceted Search Systems , 2007, 18th International Workshop on Database and Expert Systems Applications (DEXA 2007).

[6]  Jacques Bouaud,et al.  Hypertextual navigation operationalizing generic clinical practice guidelines for patient-specific therapeutic decisions , 1998, AMIA.

[7]  Raymond Reiter,et al.  Characterizing Diagnoses and Systems , 1992, Artif. Intell..

[8]  Giovanni Maria Sacco Analysis and Validation of Information Access Through Mono, Multidimensional and Dynamic Taxonomies , 2006, FQAS.

[9]  Giovanni Maria Sacco,et al.  Research Results in Dynamic Taxonomy and Faceted Search Systems , 2007, 18th International Workshop on Database and Expert Systems Applications (DEXA 2007).

[10]  Giovanni Maria Sacco,et al.  Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience , 2009, The Information Retrieval Series.

[11]  Giovanni Maria Sacco Guided interactive diagnostic systems , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[12]  James A. Reggia,et al.  Diagnostic Expert Systems Based on a Set Covering Model , 1983, Int. J. Man Mach. Stud..

[13]  M. E. Maron,et al.  An evaluation of retrieval effectiveness for a full-text document-retrieval system , 1985, CACM.

[14]  Giovanni Maria Sacco,et al.  Dynamic Taxonomies: A Model for Large Information Bases , 2000, IEEE Trans. Knowl. Data Eng..

[15]  Jacques Bouaud,et al.  ONCODOC: a successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer , 2001, Artif. Intell. Medicine.