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Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with...

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2306011063

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

About this item

Full title

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2020-01

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

A possible way to tackle the crisis of antimicrobial resistance development is a strict policy when prescribing antibiotics. Thus, it is important that prescriptions are based on antimicrobial susceptibility data to ensure effective treatment outcomes. The increasing availability of next-generation sequencing (NGS), bacterial whole genome sequencin...

Alternative Titles

Full title

Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2306011063

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2306011063

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/806760