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Development and preliminary validation of a machine learning system for thyroid dysfunction diagnosis based on routine laboratory tests.

Min HuChikashi AsamiHiroshi IwakuraYasuyo NakajimaRyousuke SemaTsuyoshi KikuchiTsuyoshi MiyataKoji SakamakiTakumi KudoMasanobu YamadaTakashi AkamizuYasubumi Sakakibara
Published in: Communications medicine (2022)
We demonstrated the potential of machine learning approaches for diagnosing the presence of thyroid dysfunction from routine laboratory tests. Further validation, including prospective clinical studies, is necessary prior to application of our method in the clinic.
Keyphrases
  • machine learning
  • clinical practice
  • artificial intelligence
  • oxidative stress
  • big data
  • primary care
  • deep learning
  • human health
  • risk assessment
  • climate change