Application of Machine Learning in the Prediction of Liver Iron Concentration Using T2* MRI in the Liver of Children with Acute Lymphoblastic Leukemia

نویسندگان
Sadeghikhoo, Reza ID 1
Bordbar, Mohammadreza ID 2
Abedini, Zahra ID 3
Zekavat, Omid Reza ID 4

1 School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. - School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

2 Shiraz University of Medical Sciences

3 Shiraz University of Medical Sciences - School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

4 Shiraz University of Medical Sciences - Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

doi
10.18502/ijpho.v16i2.21345
چکیده

Background: Machine Learning (ML) is a technique currently used to predict, diagnose, and treat diseases. Acute Lymphoblastic Leukemia (ALL) is the most common cancer among pediatric patients. A frequent complication in children with ALL is anemia, which leads to the need for recurrent blood transfusions. This, in turn, can result in increased ...

کلیدواژه‌ها
Acute lymphoblastic leukemia, Liver iron, Machine learning, Magnetic resonance imaging