Modelo basado en redes bayesianas para el diagnóstico de la fasciolosis bovina.

Format:

Book

Author/Creator:

González Benítez, Neilys.

Language:

Spanish

Subjects (All):

Bayesian statistical decision theory.

Fascioloides magna.

Physical Description:

1 online resource (145 pages)

Place of Publication:

La Habana : Editorial Universitaria, 2017.

Summary:

This doctoral thesis by Neilys González Benítez presents a Bayesian network-based model designed to enhance the diagnosis of bovine fascioliasis, a significant disease affecting livestock in Cuba. The study identifies limitations in existing diagnostic tools and proposes an innovative approach integrating knowledge management, intelligent data analysis, and Bayesian networks to improve diagnostic accuracy. The model aims to reduce disease prevalence and associated losses by supporting decision-making with higher certainty. The research employs quantitative and qualitative validation methods and highlights the model's potential impact on animal health and agricultural productivity. This work is aimed at veterinary researchers, agricultural professionals, and those interested in the application of artificial intelligence in medical diagnostics. Generated by AI.

Contents:

MODELO BASADO EN REDES BAYESIANAS PARA (...)

PÁGINA LEGAL

ÍNDICE

SÍNTESIS

INTRODUCCIÓN

CAPÍTULO I. MARCO TEÓRICO REFERENCIAL SOBRE (...)

1.1. LA FASCIOLOSIS BOVINA. TRATAMIENTO (...)

1.2. INTELIGENCIA ARTIFICIAL PARA ASISTIR (...)

1.3. TÉCNICAS DE INTELIGENCIA ARTIFICIAL (...)

1.3.1. PROPUESTA DE TÉCNICAS DE INTELIGENCIA (...)

1.4. REDES BAYESIANAS

1.4.1. PROPIEDADES DE LAS REDES BAYESIANAS

1.4.2. TIPOS DE REDES BAYESIANAS

1.4.3. APRENDIZAJE EN REDES BAYESIANAS

1.5. VENTAJAS E INCONVENIENTES DE LAS REDES (...)

1.6. PRODUCTOS DE SOFTWARE CREADO PARA (...)

1.7. MODELOS PARA EJECUTAR DIAGNÓSTICO (...)

1.8. APLICACIONES DE LAS REDES BAYESIANAS (...)

1.9. CONCLUSIONES DEL CAPÍTULO

CAPÍTULO II. MODELO BASADO EN REDES BAYESIANAS (...)

2.1. DIAGNÓSTICO

2.2. CONCEPCIÓN METODOLÓGICA DEL MODELO

2.3. ESTRUCTURA, COMPONENTES, CUALIDADES, (...)

2.3.1. DESCRIPCIÓN GENERAL DEL MODELO

2.3.2. DESCRIPCIÓN DE LOS COMPONENTES DEL (...)

2.4. CONCLUSIONES DEL CAPÍTULO

CAPÍTULO III. VALIDACIÓN DEL MODELO PARA (...)

3.1. INSTANCIACIÓN DEL MODELO MRB-DIAGPRON

3.2. FUNCIONAMIENTO GENERAL DE LA APLICACIÓN

3.3. INDICACIONES METODOLÓGICAS PARA LA (...) Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

959-16-3958-9

OCLC:

1048925290