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CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation.
Sun, Mengxuan; Niu, Jinghao; Yang, Xuebing; Gu, Yifan; Zhang, Wensheng.
Affiliation
  • Sun M; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
  • Niu J; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Yang X; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. Electronic address: yangxuebing2013@ia.ac.cn.
  • Gu Y; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
  • Zhang W; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Guangzhou University, Guangzhou, China. Electronic address: zhangwenshengia@hotmail.com.
Artif Intell Med ; 143: 102613, 2023 09.
Article in En | MEDLINE | ID: mdl-37673560
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Curriculum / Clinical Decision-Making Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Curriculum / Clinical Decision-Making Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands