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Cutting-edge machine learning tools have shown significant promise for infectious disease control using the bacterial genome. In this chapter, an overview of key problems of clinical microbiology surrounding infectious disease management, antibiotic resistance, and clinical susceptibility test to antimicrobial drugs, will be provided, followed by an introduction of genomic data used in genotypic prediction of the phenotype for antimicrobial resistance. This chapter will then provide machine learning models for bacterial resistance prediction using genome, as well as promising tools for exploring the bacterial genomic pattern.

Original publication

DOI

10.1049/PBHE002E_ch10

Type

Chapter

Book title

Machine Learning for Healthcare Technologies

Publication Date

01/01/2016

Pages

203 - 226