期刊
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
卷 60, 期 8, 页码 1303-1305出版社
SPRINGER
DOI: 10.1007/s00484-015-1099-2
关键词
Type A acute aortic dissection; Air temperature; Supervised classification technique; Cloudiness; Weather predictors; Berlin
资金
- University Management of Freie Universitat Berlin
In this study, a minimum distance classification and forward feature selection technique are joined to determine the relationship between weather conditions and the increase of the risk of type A acute aortic dissection (AAD) events in Berlin. The results demonstrate that changes in the amount of cloudiness and air temperature are the most representative weather predictors among the studied parameters. A discrimination surface was developed for the prediction of AAD events 6 h ahead, and it is found that, under a specific amount of cloudiness and air temperature, the risk of AAD events in Berlin increases about 20 %.
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