作者: Booma Devi Sekar , Mingchui Dong
DOI: 10.3233/KES-140299
关键词:
摘要: A generalized Bayesian inference nets model (GBINM) to aid developers construct self-adaptive for various applications and a new approach of defining assigning statistical parameters nodes needed calculate propagation probabilities address uncertainties are proposed. GBINM the proposed applied design an intelligent medical system diagnose cardiovascular diseases. Thousands site-sampled clinical data used designing testing such constructed system. The preliminary diagnostic results show that methodology has salient validity effectiveness