Back

Machine learning models to identify patient and microbial genetic factors associated with carbapenem-resistant Klebsiella pneumoniae infection

2020-07-07 infectious diseases Title + abstract only
View on medRxiv
Show abstract

BackgroundAmong patients colonized with carbapenem-resistant Klebsiella pneumoniae (CRKP), only a subset develop clinical infection. While patient characteristics may influence risk for infection, it remains unclear if the genetic background of CRKP strains contributes to this risk. We applied machine learning to quantify the capacity of patient characteristics and microbial genotypes to discriminate infection and colonization, and identified patient and microbial features associated with infect...

Predicted journal destinations

1
Scientific Reports
701 training papers
Top 16% 10.9%
2
Clinical Infectious Diseases
219 training papers
Top 2% 8.6%
3
Journal of Clinical Microbiology
77 training papers
Top 1% 5.9%
4
Nature Communications
483 training papers
Top 19% 5.9%
5
PLOS ONE
1737 training papers
Top 83% 4.7%
6
Microbiology Spectrum
86 training papers
Top 1% 3.6%
7
The Lancet Microbe
33 training papers
#1 3.6%
8
Microbial Genomics
24 training papers
Top 0.2% 2.6%
9
Open Forum Infectious Diseases
124 training papers
Top 5% 2.6%
10
Genome Medicine
56 training papers
Top 5% 2.6%
11
The Journal of Infectious Diseases
137 training papers
Top 8% 1.8%
12
BMC Infectious Diseases
110 training papers
Top 9% 1.8%
13
eLife
262 training papers
Top 32% 1.4%
14
Communications Medicine
63 training papers
Top 2% 1.4%
15
Emerging Infectious Diseases
84 training papers
Top 11% 1.2%
16
Journal of Infection
64 training papers
Top 5% 1.2%
17
PLOS Computational Biology
141 training papers
Top 10% 1.2%
18
eBioMedicine
82 training papers
Top 6% 1.2%
19
mSphere
27 training papers
Top 0.6% 1.2%
20
JAMA Network Open
125 training papers
Top 21% 1.1%
21
iScience
74 training papers
Top 9% 1.1%
22
Journal of Clinical Virology
54 training papers
Top 5% 1.1%
23
Nature Medicine
88 training papers
Top 11% 1.1%
24
Viruses
79 training papers
Top 8% 0.9%
25
Infection Control & Hospital Epidemiology
17 training papers
Top 0.6% 0.9%
26
PLOS Digital Health
88 training papers
Top 17% 0.9%
27
Journal of Medical Virology
95 training papers
Top 12% 0.9%
28
Antimicrobial Agents and Chemotherapy
17 training papers
Top 0.8% 0.9%
29
mBio
34 training papers
Top 2% 0.9%
30
Clinical Microbiology and Infection
54 training papers
Top 8% 0.9%