Treatment outcome classification of pediatric Acute Lymphoblastic Leukemia patients with clinical and medical data using machine learning: A case study at MAHAK hospital

Treatment outcome classification of pediatric Acute Lymphoblastic Leukemia patients with clinical and medical data using machine learning: A case study at MAHAK hospital

Introduction: Acute Lymphoblastic Leukemia (ALL) is the most common cancer among children. With the advancements of science and technology, the mortality rate of ALL is highly reduced. The aim of this study is treatment outcome classification of ALL patients aged less than 18 years with clinical and...

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Bibliographic Details
Main Authors: Amirarash Kashef, Toktam Khatibi, Azim Mehrvar
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Acute Lymphoblastic Leukemia (ALL)
children blood cancer
machine learning
treatment-related complications
MAHAK hospital
SVM
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914820302409

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http://www.sciencedirect.com/science/article/pii/S2352914820302409

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