| 摘 要: 高血压是引起冠心病、中风、心力衰竭等疾病的重要风险因素，并已成为影响人类健康的重要疾病，对 患者进行药物治疗是控制血压的常见手段。本文通过对高血压患者的服药情况及血压值进行分析，建立两者之间的 (β,beta)分布评价模型，利用遗传算法对该模型进行优化。通过与线性拟合相比较，表明该模型能很好地预见患者的血 压情况。 |
| 关键词: 高血压；β分布；遗传算法；交叉验证 |
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中图分类号: TP18
文献标识码: A
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| Research on the Evaluation Model of Drug Efficacy Based on the Genetic Algorithm |
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CAO Xiaofeng
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( Department of Computer Engineering, Taiyuan Institute of Technology, Taiyuan 030008, China)
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| Abstract: Hypertension is an important risk factor for coronary heart disease,stroke,heart failure and other diseases,and has become an important disease affecting human health.Through the analysis of the medication and the blood pressure,the paper establishes the beta distribution model,and adopts the genetic algorithm to optimize the model.The comparison results with the linear fitting algorithm show that this model can well predict the blood pressure of patients. |
| Keywords: hypertension;beta distribution;genetic algorithm;cross-validation |
