肺孤立结节
恶性肿瘤
贝叶斯定理
结核(地质)
医学
贝叶斯概率
放射科
最大似然
内科学
统计
数学
生物
计算机断层摄影术
古生物学
作者
Steven R. Cummings,Glen A. Lillington,Robert J. Richard
出处
期刊:PubMed
日期:1986-09-01
卷期号:134 (3): 449-52
被引量:126
标识
DOI:10.1164/arrd.1986.134.3.449
摘要
Decisions about managing solitary pulmonary nodules often involve estimates of the likelihood that the nodule is malignant. We used Bayes' theorem to devise a simple scheme for estimating the likelihood that a solitary pulmonary nodule is malignant based on the diameter of the nodule, the patient's age and history of cigarette smoking, and data on the overall prevalence of malignancy in solitary nodules. This method may improve the accuracy of estimating the likelihood of malignancy for individual patients with solitary pulmonary nodules.
科研通智能强力驱动
Strongly Powered by AbleSci AI