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作者:

Cheng, Wenshuai (Cheng, Wenshuai.) | Fang, Liying (Fang, Liying.) | Yang, Lin (Yang, Lin.) | Zhao, Han (Zhao, Han.) | Wang, Pu (Wang, Pu.) (学者:王普) | Yan, Jianzhuo (Yan, Jianzhuo.)

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CPCI-S EI Scopus

摘要:

In the study of gestational hypertension, most of studies focused on whether a risk factor is associated with gestational hypertension. However, according to the clinical experience, it is important to know the effects of risk factors on women's blood pressure during pregnancy. Thus, we examined the effects of known risk factors (age, hematocrit, etc.) over gestational age. We also examined whether the effects of known risk factors are different between gestational hypertension group and preeclampsia group. These were studied in 412 pregnant women including 1874 clinical follow-up records. On the longitudinal clinical data of pregnant women, varying coefficient models were applied to study the effects of known risk factors over gestational age. The results showed that the effects of known risk factors varied with gestational age, and the changing processes of known risk factors over gestational age were different between gestational hypertension group and preeclampsia group. In final, we used the relative error as the criterion to assess the accuracy of the estimated varying coefficient model. The relative errors for total clinical data, gestational hypertension group and preeclampsia group were 13.3%, 8.1% and 14.3%, respectively.

关键词:

Varying Coefficient Model longitudinal data gestational hypertension

作者机构:

  • [ 1 ] [Cheng, Wenshuai]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Fang, Liying]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhao, Han]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Wang, Pu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Yan, Jianzhuo]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Lin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Cheng, Wenshuai]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

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来源 :

2014 13TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA)

年份: 2014

页码: 55-60

语种: 英文

被引次数:

WoS核心集被引频次: 6

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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