Complementary case-based reasoning and competitive fuzzy cognitive maps for advanced medical decisions

This paper presents a new hybrid modeling methodology suitable for complex decision making processes. It extends previous work on competitive fuzzy cognitive maps for medical decision support systems by complementing them with case based reasoning methods. The synergy of these methodologies is accomplished by a new proposed algorithm that leads to more dependable advanced medical decision support systems that are suitable to handle situations where the decisions are not clearly distinct. The methodology developed here is applied successfully to model and test two decision support systems, one a differential diagnosis problem from the speech pathology area for the diagnosis of language impairments and the other for decision making choices in external beam radiation therapy.

[1]  Janet W. Lerner,et al.  Reading and Learning Disabilities. , 1973 .

[2]  E Plante,et al.  IQ variability in children with SLI: implications for use of cognitive referencing in determining SLI. , 1997, Journal of communication disorders.

[3]  Voula C. Georgopoulos,et al.  Augmented Fuzzy Cognitive Maps Supplemented with Case Based Reasoning for Advanced Medical Decision Support , 2005 .

[4]  Rainer Schmidt,et al.  Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems , 1999, AIMDM.

[5]  Nikos I. Karacapilidis,et al.  Computer-supported collaborative argumentation and fuzzy similarity measures in multiple criteria decision making , 2000, Comput. Oper. Res..

[6]  Lynne E. Hewitt,et al.  Children with Specific Language Impairment , 2002 .

[7]  Oliver Samuel,et al.  Evidence-based medicine: how to practice and teach EBM (2nd edn). , 2000 .

[8]  Voula C. Georgopoulos.  A proposed electro-optical implementation of lateral inhibition with phase-only filters , 1997 .

[9]  S. Satya‐Murti.  Evidence-based Medicine: How to Practice and Teach EBM , 1997 .

[10]  T. Warren Liao,et al.  Classification and coding approaches to part family formation under a fuzzy environment , 2001, Fuzzy Sets Syst..

[11]  Voula C. Georgopoulos,et al.  A fuzzy cognitive map approach to differential diagnosis of specific language impairment , 2003, Artif. Intell. Medicine.

[12]  Joost N. Kok,et al.  A lateral inhibition neural network that emulates a winner-takes-all algorithm , 1992, ESANN.

[13]  Matej Šprogar,et al.  Evolution in Medical Decision Making , 2002, Journal of Medical Systems.

[14]  H. Catts,et al.  Toward an understanding of developmental language and reading disorders. , 1986, The Journal of speech and hearing disorders.

[15]  George Kaluger,et al.  Reading and learning disabilities , 1978 .

[16]  Fernando Mendes de Azevedo,et al.  Hybrid expert system for decision supporting in the medical area: complexity and cognitive computing , 2001, Int. J. Medical Informatics.

[17]  Florentin Smarandache,et al.  FUZZY COGNITIVE MAPS AND NEUTROSOPHIC COGNITIVE MAPS , 2003, math/0311063.

[18]  Paula Tallal,et al.  Identification of language-impaired children on the basis of rapid perception and production skills , 1985, Brain and Language.

[19]  Chrysostomos D. Stylios,et al.  An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps , 2003, IEEE Transactions on Biomedical Engineering.

[20]  E G Aird.  Radiotherapy today and tomorrow--an introduction to optimisation of conformal radiotherapy. , 1989, Physics in medicine and biology.