Machine Learning and Electronic Clinical Decision Support Systems for or Against Individualized and Precision Approach to the Newborn Diseases


Erol S.

. Individualized and Precision Approach to the Newborn Infant, Saadet Arsan, Editör, Turkiye Klinikleri, Ankara, ss.71-76, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Turkiye Klinikleri
  • Basıldığı Şehir: Ankara
  • Sayfa Sayıları: ss.71-76
  • Editörler: Saadet Arsan, Editör
  • Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet

Özet

he utilization of machine learning and electronic decision support systems in neonatal care is increasing in parallel with the growing impact of artificial intelligence in the healthcare. These systems analyse genetic, environmental, and lifestyle data to achieve and promote individualized and precision approach, which is indispensable for the most vulnerable population: the newborns. As novel tools are being developed to provide critical solutions in various areas for newborns and their families, clinical care team members, researchers, community health program managers, and healthcare business administrators, the possibility of encountering unintended results and the presence of ethical concerns will be important topics of discussion.

Keywords: Precision medicine; machine learning; newborn