Back

Clinical Characteristics And Prognostic Factors For ICU Admission Of Patients With COVID-19 Using Machine Learning And Natural Language Processing

2020-05-25 respiratory medicine Title + abstract only
View on medRxiv
Show abstract

There remain many unknowns regarding the onset and clinical course of the ongoing COVID-19 pandemic. We used a combination of classic epidemiological methods, natural language processing (NLP), and machine learning (for predictive modeling), to analyse the electronic health records (EHRs) of patients with COVID-19. We explored the unstructured free text in the EHRs within the SESCAM Healthcare Network (Castilla La-Mancha, Spain) from the entire population with available EHRs (1,364,924 patients...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 29% 22.5%
2
Scientific Reports
701 training papers
Top 4% 17.9%
3
BMJ Open Respiratory Research
32 training papers
Top 1% 6.5%
4
Journal of Medical Internet Research
81 training papers
Top 2% 6.5%
5
JMIR Medical Informatics
16 training papers
#1 6.0%
6
European Respiratory Journal
44 training papers
Top 1% 3.9%
7
npj Digital Medicine
85 training papers
Top 7% 3.9%
8
ERJ Open Research
36 training papers
Top 1% 2.8%
9
Thorax
29 training papers
Top 1% 2.8%
10
BMJ Open
553 training papers
Top 43% 2.8%
11
PLOS Digital Health
88 training papers
Top 9% 2.0%
12
BMC Medical Informatics and Decision Making
36 training papers
Top 5% 2.0%
13
Frontiers in Medicine
99 training papers
Top 13% 1.4%
14
JMIR Formative Research
31 training papers
Top 4% 1.0%
15
Journal of the American Medical Informatics Association
53 training papers
Top 6% 1.0%
16
International Journal of Medical Informatics
25 training papers
Top 6% 1.0%
17
Journal of Allergy and Clinical Immunology
15 training papers
Top 2% 1.0%
18
American Journal of Respiratory and Critical Care Medicine
23 training papers
Top 2% 1.0%
19
Journal of Biomedical Informatics
37 training papers
Top 6% 1.0%
20
Medicine
29 training papers
Top 6% 0.7%
21
Frontiers in Public Health
135 training papers
Top 33% 0.7%
22
Nature Communications
483 training papers
Top 59% 0.7%
23
Frontiers in Pharmacology
27 training papers
Top 3% 0.7%
24
International Journal of Environmental Research and Public Health
116 training papers
Top 39% 0.5%