Monteith B D
Medical University of Southern Africa, Medunsa.
Int J Prosthodont. 1991 Jan-Feb;4(1):30-6.
A major problem in the correct diagnosis of pulpal pain is that the associated clinical signs do not predictably correlate with the underlying pathological process. Using conditional probabilities of various pulp conditions from published data, Bayesian Statistical Inference provides the means for deriving a composite probability of the presence of a disease from a multiple set of symptoms. A computer program that can infer a diagnosis for pulpal pain from any combination of 17 clinical symptoms has been developed. From the data, the program provides the computed relative probabilities of a healthy pulp, a saveable pulp, an unsaveable pulp, and a necrotic pulp being present.
牙髓疼痛正确诊断中的一个主要问题是，相关的临床体征与潜在的病理过程之间没有可预测的相关性。利用已发表数据中各种牙髓状况的条件概率，贝叶斯统计推断提供了一种从多组症状中得出疾病存在的综合概率的方法。现已开发出一种计算机程序，该程序可根据17种临床症状的任意组合推断牙髓疼痛的诊断。根据这些数据，该程序提供了健康牙髓、可保存牙髓、不可保存牙髓和坏死牙髓存在的计算相对概率。
