Differential Diagnostics of Thalassemia Minor by Artificial Neural Networks Model

• Published in: Journal of clinical laboratory analysis Vol. 27; no. 6; pp. 481 - 486
• Main Authors: Barnhart-Magen, Guy, Gotlib, Victor, Marilus, Rafael, Einav, Yulia
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.11.2013; John Wiley & Sons, Inc; John Wiley and Sons Inc
• Subjects: Anemia; artificial neural networks; beta-Thalassemia - blood; beta-Thalassemia - diagnosis; beta-Thalassemia - epidemiology; Blood; blood count; Computer Simulation; Databases, Factual; Diagnosis, Computer-Assisted - methods; Diagnosis, Differential; differential diagnosis; Humans; Medical screening; Neural networks; Neural Networks (Computer); Original; thalassemia minor; thalassemia screening; thalassemia minor; artificial neural networks; blood count; differential diagnosis; thalassemia screening

Background Current methods used to diagnose the thalassemia minor (TM) patients require high‐cost assays, while broader screening based on routine blood count has limited specificity and sensitivity. This study developed a new screening technique for TM patients’ diagnosis. Methods The study enrolle...