| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000374534 |
| ISSN: | 1870-9044 |
| Autores: | Fernando, Irosh1 Henskens, Frans A1 |
| Instituciones: | 1University of Newcastle, School of Electrical Engineering and Computer Science, Newcastle, New South Wales. Australia |
| Año: | 2013 |
| Periodo: | Jul-Dic |
| Número: | 48 |
| Paginación: | 23-29 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | The authors have previously described an approach for medical diagnostic reasoning based on the ST (Select and Test) model introduced by Ramoni and Stefanelli et al. This paper extends the previous approach by introducing the required algorithm for medical expert system development. The algorithm involves a bottom-up and recursive process using logical inferences, abduction, deduction, and induction. Pseudocode for the algorithm, and the data structures involved, are described, and the algorithm's implementation using a small sample knowledgebase and programmed in Java is included in appendixes. Implementation of a successful expert system is a challenging process; development of the necessary algorithm for its inference engine, and definition of a knowledgebase structure that models expert diagnostic reasoning and knowledge, only fulfils the initial step. Challenges associated with the remaining steps of the development process can be identified and dealt with using the CLAP software process model |
| Disciplinas: | Ciencias de la computación, Medicina |
| Palabras clave: | Inteligencia artificial, Diagnóstico, Razonamiento, Sistemas expertos, Algoritmos |
| Keyword: | Computer science, Medicine, Artificial intelligence, Diagnosis, Reasoning, Expert systems, Algorithms |
| Texto completo: | Texto completo (Ver HTML) |
