Your browser doesn't support javascript.
loading
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm.
Jin, Weijia; Hao, Wei; Shi, Xu; Fritsche, Lars G; Salvatore, Maxwell; Admon, Andrew J; Friese, Christopher R; Mukherjee, Bhramar.
Affiliation
  • Jin W; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Hao W; Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Shi X; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Fritsche LG; Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Salvatore M; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Admon AJ; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Friese CR; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  • Mukherjee B; Center for Precision Health Data Science, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
J Clin Med ; 12(23)2023 Nov 25.
Article in En | MEDLINE | ID: mdl-38068365

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Clin Med Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Clin Med Year: 2023 Type: Article Affiliation country: United States