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Start Over Collection UNT Scholarly Works Degree Department Computer Science and Engineering Month January Day 19th

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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model (open access)

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date: January 19, 2022
Creator: Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
System: The UNT Digital Library