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Analysis of Epigenetics and Epidemiology of Acute Myeloid Leukemia with Machine Learning

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Keywords
bioinformatics
 oncology
 machine learning
 acute myeloid leukemia
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Bichindaritz, Isabelle
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Spring 2020
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2020-05
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SUNY Oswego Master's Theses & Projects
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Mason_S_MSBHI.pdf
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http://hdl.handle.net/20.500.12648/14808
Abstract
Epidemiology of Acute Myeloid Leukemia shows strong genetic and epigenetic links by types and severity. To study the disease, patient samples are translated into data. Using advanced data analytics techniques, supervised machine learning, epigenetic research acquires efficiency for synthesis and building knowledge based on clinical data. There are known factors supported by research. The combination of factor produces higher severity in Acute Myeloid Leukemia by clinical considerations, AML subclass, and methylation.
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