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Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning.

Hidekazu IshidaHiroki NagasawaYasuko YamamotoHidetsugu FujigakiHiroki DoiMidori SaitoYuya IshiharaTakashi FujitaMariko IshidaYohei KatoRyosuke KikuchiHidetoshi MatsunamiMasao TakemuraHiroyasu ItoKuniaki Saito
Published in: Annals of clinical biochemistry (2023)
Although machine learning models provide valuable method for LDL-C estimates, they should be trained on datasets with matched characteristics. The versatility of machine learning methods is another important consideration.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • body composition