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Dynamic prediction model of fetal growth restriction based on support vector machine and logistic regression algorithm.
Lian, Cuiting; Wang, Yan; Bao, Xinyu; Yang, Lin; Liu, Guoli; Hao, Dongmei; Zhang, Song; Yang, Yimin; Li, Xuwen; Meng, Yu; Zhang, Xinyu; Li, Ziwei.
Affiliation
  • Lian C; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Wang Y; Department of Obstetrics, Peking University People's Hospital, Beijing, China.
  • Bao X; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Yang L; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Liu G; Department of Obstetrics, Peking University People's Hospital, Beijing, China.
  • Hao D; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Zhang S; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Yang Y; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Li X; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Meng Y; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Zhang X; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
  • Li Z; Faculty of Environment and Life Sciences, Beijing University of Technology, Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation, Beijing, China.
Front Surg ; 9: 951908, 2022.
Article in En | MEDLINE | ID: mdl-36211283
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Surg Year: 2022 Document type: Article Affiliation country: China Country of publication: Suiza
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Surg Year: 2022 Document type: Article Affiliation country: China Country of publication: Suiza