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Novel Survival Features Generated by Clinical Text Information and Radiomics Features May Improve the Prediction of Ischemic Stroke Outcome.
Guo, Yingwei; Yang, Yingjian; Cao, Fengqiu; Li, Wei; Wang, Mingming; Luo, Yu; Guo, Jia; Zaman, Asim; Zeng, Xueqiang; Miu, Xiaoqiang; Li, Longyu; Qiu, Weiyan; Kang, Yan.
Afiliação
  • Guo Y; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Yang Y; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Cao F; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Li W; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Wang M; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Luo Y; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Guo J; Department of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
  • Zaman A; Department of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
  • Zeng X; Department of Psychiatry, Columbia University, New York, NY 10027, USA.
  • Miu X; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Li L; Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China.
  • Qiu W; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen 518118, China.
  • Kang Y; Engineering Research Centre of Medical Imaging and Intelligent Analysis, Ministry of Education, Shenyang 110169, China.
Diagnostics (Basel) ; 12(7)2022 Jul 08.
Article em En | MEDLINE | ID: mdl-35885568
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça