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基于贝叶斯网络模型的脑中风等慢性疾病预测分析
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作者 杜瑞雪 《电脑编程技巧与维护》 2023年第6期47-49,共3页
为精准预测脑中风与高血压、高血糖、心脏病等慢性疾病的因果关系,对性别、年龄、工作类型、居住类型、体重指数、吸烟状况、是否结过婚、是否患有高血压、是否患脑中风及血糖水平变量进行双重Logistic回归筛选,最终构建以年龄、工作类... 为精准预测脑中风与高血压、高血糖、心脏病等慢性疾病的因果关系,对性别、年龄、工作类型、居住类型、体重指数、吸烟状况、是否结过婚、是否患有高血压、是否患脑中风及血糖水平变量进行双重Logistic回归筛选,最终构建以年龄、工作类型、体重指数、是否结过婚、是否患有心脏病、是否患有高血压、平均血糖水平与脑中风共8个节点为主要节点的贝叶斯网络(BN)结构。基于贝叶斯网络的脑中风等慢性疾病推理模型,推理观察目标节点各变量的后验概率变化,探究了在设定条件下脑中风等慢性疾病的发生情况。 展开更多
关键词 贝叶斯网络 慢性疾病预测 脑中风 禁忌搜索算法 逻辑回归
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Medical comorbidities at admission is predictive for 30-day in-hospital mortality in patients with acute myocardial infarction: analysis of 5161 cases 被引量:1
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作者 Xue-Dong Yang Yu-Sheng Zhao Yu-Feng Li Xin-Hong Guo 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2011年第1期31-34,共4页
Background The present study investigated the prognostic value of medical comorbidities at admission for 30-day in-hospital mortality in patients with acute myocardial infarction (AMI). Methods A total of 5161 patie... Background The present study investigated the prognostic value of medical comorbidities at admission for 30-day in-hospital mortality in patients with acute myocardial infarction (AMI). Methods A total of 5161 patients with AMI were admitted in Chinese PLA General Hospital between January 1, 1993 and December 31, 2007. Medical comorbidities including hypertension, diabetes mellitus, previous myocardial infarction, valvular heart disease, chronic obstructive pulmonary disease (COPD), renal insufficiency, previous stroke, atrial fibrillation and anemia, were identified at admission. The patients were divided into 4 groups based on the number of medical comorbidities at admission (0, 1, 2, and ≥3). Cox regression analysis was used to calculate relative risk (RR) and 95% confidence intervals (CI), with adjustment for age, sex, heart failure and percutaneous coronary intervention (PCI). Results The mean age of the studied population was 63.9 ± 13.6 years, and 80.1% of the patients were male. In 74.6% of the patients at least one comorbidity were identified. Hypertension (50.7%), diabetes mellitus (24.0%) and previous myocardial infarction (12%) were the leading common comorbidities at admission. The 30-day in-hospital mortality in patients with 0, 1, 2, and ≥3 comorbidities at admission (7.2%) was 4.9%, 7.2%, 11.1%, and 20.3%, respectively. The presence of 2 or more comorbidities was associated with higher 30-day in-hospital mortality compared with patients without comorbidity (RR: 1.41, 95% CI: 1.13-1.77, P = 0.003, and RR: 1.95, 95% CI: 1.59-2.39, P = 0.000, respectively). Conclusions Medical comorbidities were frequently found in patients with AMI. AMI patients with more comorbidities had a higher 30-day in-hospital mortality might be predictive of early poor outcome in patients with AMI. 展开更多
关键词 acute myocardial infarction COMORBIDITY MORTALITY
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