采用数据分类方法研究船员长途航海对健康的影响。
A study of health effects of long-distance ocean voyages on seamen using a data classification approach.
机构信息
College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China.
出版信息
BMC Med Inform Decis Mak. 2010 Mar 10;10:13. doi: 10.1186/1472-6947-10-13.
BACKGROUND
Long-distance ocean voyages may have substantial impacts on seamen's health, possibly causing malnutrition and other illness. Measures can possibly be taken to prevent such problems from happening through preparing special diet and making special precautions prior or during the sailing if a detailed understanding can be gained about what specific health effects such voyages may have on the seamen.
METHODS
We present a computational study on 200 seamen using 41 chemistry indicators measured on their blood samples collected before and after the sailing. Our computational study is done using a data classification approach with a support vector machine-based classifier in conjunction with feature selections using a recursive feature elimination procedure.
RESULTS
Our analysis results suggest that among the 41 blood chemistry measures, nine are most likely to be affected during the sailing, which provide important clues about the specific effects of ocean voyage on seamen's health.
CONCLUSIONS
The identification of the nine blood chemistry measures provides important clues about the effects of long-distance voyage on seamen's health. These findings will prove to be useful to guide in improving the living and working environment, as well as food preparation on ships.
背景
长途航海可能对海员的健康产生重大影响，可能导致营养不良和其他疾病。如果能够详细了解此类航行对海员健康的具体影响，就有可能通过在航海前或航海期间准备特殊饮食和采取特殊预防措施来防止这些问题的发生。
方法
我们使用收集的 200 名海员的血液样本中的 41 个化学指标进行了计算研究。我们的计算研究是使用数据分类方法，基于支持向量机的分类器结合递归特征消除过程进行特征选择来完成的。
结果
我们的分析结果表明，在 41 项血液化学指标中，有 9 项在航行中最有可能受到影响，这为了解海洋航行对海员健康的具体影响提供了重要线索。
结论
这 9 项血液化学指标的确定为了解长途航行对海员健康的影响提供了重要线索。这些发现将有助于指导改善船上的生活和工作环境以及食物准备。
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