为了更全面地了解和评估大学生体质健康现状，采用基于智能化健康促进服务系统测得数据，拟定身高、体重、肺活量、体成分、平衡能力、心血管等6个新指标，运用聚类分析、Fisher判别法构建了评估大学生体质健康状况的分级模型，并对模型进行验证。实验结果表明，该模型能较好预测学生所属的健康类别，从而合理评估该学生的体质健康状况，对大学生的体质健康研究具有一定的借鉴作用。%In order to understand and evaluate the status of college students’ physical health more comprehensive, we measure the corresponding data based on intelligent health promotion service system. Using the cluster analysis and Fisher discriminant method, we build the model for evaluating the classification of the physical health condition of college students with six new indicators including height, weight, lung capacity, body composition, balance, cardiovascular, and validate the model. The experimental results show that it can assess the physical health of the students in witch class directly when related to the measured data in function. Research on the physical health of college students has a certain reference.
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