Prediction of new prescription requirements for diabetes patients using big data technologies

• Auteurs principaux: Batuhan Bakırarar (Auteur), Cemil Yüksel (Auteur), Yasemin Yavuz (Auteur)
• Format: Livre
• Publié: College of Public Health Sciences, Chulalongkorn University, 2022-02-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Purpose - The study aimed to evaluate the effectiveness of using large data sets for new diabetes patient prescriptions. Design/methodology/approach - This study consisted of 101,766 individuals, who had applied to the hospital with a diabetes diagnosis and were hospitalized for 1-14 days and subjec...