Prediction of inherited metabolic disorders using tandem mass spectrometry data with the help of artificial neural networks.

Journal: Turkish journal of medical sciences
PMID: 39295611

Abstract

BACKGROUND/AIM: Tandem mass spectrometry is helpful in diagnosing amino acid metabolism disorders, organic acidemias, and fatty acid oxidation disorders and can provide rapid and accurate diagnosis for inborn errors of metabolism. The aim of this study was to predict inborn errors of metabolism in children with the help of artificial neural networks using tandem mass spectrometry data.

Authors

  • Pembe Soylu Üstkoyuncu
    Division of Pediatric Nutrition and Metabolism, Department of Pediatrics, Faculty of Medicine, Health Sciences University, Kayseri, Turkiye.
  • Nurettin Üstkoyuncu
    Department of Electrical & Electronics Engineering, Faculty of Engineering, Erciyes University, Kayseri, Turkiye.

Keywords

External Resources

Popular Topics
Recent Journals