A prediction model for childhood obesity risk based on maternal thyroid status and related parameters using machine learning: a mother–newborn–offspring study in a mild-to-moderate iodine deficiency area

  • Yaniv S. Ovadia
  • , Natalya Bilenko
  • , Orit Mazza
  • , Naama Fisch-Shvalb
  • , Abigail Paradise Vit
  • , Shani R. Rosen
  • , Yael Avrahami-Benyounes
  • , Ludmila Groisman
  • , Efrat Rorman
  • , Tatiana Ketslakh
  • , Eyal Y. Anteby
  • , Dov Gefel
  • , Simon Shenhav

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'A prediction model for childhood obesity risk based on maternal thyroid status and related parameters using machine learning: a mother–newborn–offspring study in a mild-to-moderate iodine deficiency area'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry