Back
Top 17%
30.0%
Top 14%
11.5%
Top 0.9%
6.7%
#1
6.7%
Top 4%
5.3%
Top 4%
4.4%
Top 6%
4.4%
Top 4%
4.4%
Top 4%
2.9%
Top 0.8%
2.9%
Top 47%
2.0%
Top 16%
1.6%
Top 12%
1.6%
Top 5%
1.6%
Top 22%
1.4%
Top 3%
1.2%
Top 9%
0.7%
Top 3%
0.7%
Top 3%
0.7%
Top 9%
0.7%
Clinical severity prediction of COVID-19 admitted patients in Spain: SEMI and REDISSEC cohorts
2023-02-10
health informatics
Title + abstract only
View on medRxiv
Show abstract
This report addresses, from a machine learning perspective, a multi-class classification problem to predict the first deterioration level of a COVID-19 positive patient at the time of hospital admission. Socio-demographic features, laboratory tests and other measures are taken into account to learn the models. Our output is divided into 4 categories ranging from healthy patients, followed by patients requiring some form of ventilation (divided in 2 cate-gories) and finally patients expected to d...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
Scientific Reports
701 training papers
3
BMC Medical Informatics and Decision Making
36 training papers
4
International Journal of Medical Informatics
25 training papers
5
Journal of Medical Internet Research
81 training papers
6
Journal of the American Medical Informatics Association
53 training papers
7
PLOS Digital Health
88 training papers
8
JAMIA Open
35 training papers
9
Journal of Biomedical Informatics
37 training papers
10
JMIR Medical Informatics
16 training papers
11
BMJ Open
553 training papers
12
International Journal of Environmental Research and Public Health
116 training papers
13
npj Digital Medicine
85 training papers
14
Computers in Biology and Medicine
39 training papers
15
Frontiers in Public Health
135 training papers
16
JMIR Formative Research
31 training papers
17
JMIR Public Health and Surveillance
45 training papers
18
Patterns
15 training papers
19
Frontiers in Digital Health
18 training papers
20
BMC Medical Research Methodology
41 training papers