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Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK Biobank.

Davin HillMax ToropAria MasoomiPeter J CastaldiEdwin K SilvermanSandeep BodduluriSurya P BhattTaedong YunCory Y McLeanFarhad HormozdiariJennifer DyMichael H ChoBrian D Hobbs
Published in: medRxiv : the preprint server for health sciences (2023)
MHC is supported by NIH R01HL137927, R01HL135142, HL147148, and HL089856.BDH is supported by NIH K08HL136928, U01 HL089856, and an Alpha-1 Foundation Research Grant.DH is supported by NIH 2T32HL007427-41EKS is supported by NIH R01 HL152728, R01 HL147148, U01 HL089856, R01 HL133135, P01 HL132825, and P01 HL114501.PJC is supported by NIH R01HL124233 and R01HL147326.SPB is supported by NIH R01HL151421 and UH3HL155806.TY, FH, and CYM are employees of Google LLC.
Keyphrases
  • lung function
  • deep learning
  • machine learning
  • risk factors
  • cardiovascular disease
  • coronary artery disease
  • cardiovascular events
  • electronic health record
  • big data