Back

Development and Validation of a Deep Learning System for the Diagnosis of Pediatric Diseases: A Large-Scale Real-World Data Study in Shanghai

2022-10-11 health informatics Title + abstract only
View on medRxiv
Show abstract

BackgroundArtificial intelligence (AI)-assisted diagnosis is considered to be the future direction of improving the efficiency and accuracy of pediatric diseases diagnosis, while the existing research based on AI are far from sufficient because of limited data amount, inadequate coverage of disease types, or high construction costs, and have not been applied on a large scale. We aimed to develop an accurate deep learning model trained on millions of real-world data to verify the feasibility of t...

Predicted journal destinations

1
Journal of the American Medical Informatics Association
53 training papers
Top 2% 10.8%
2
Journal of Biomedical Informatics
37 training papers
Top 0.6% 8.9%
3
PLOS Digital Health
88 training papers
Top 1% 8.9%
4
Journal of Medical Internet Research
81 training papers
Top 1% 7.7%
5
BMC Medical Informatics and Decision Making
36 training papers
Top 0.6% 7.7%
6
Scientific Reports
701 training papers
Top 39% 6.3%
7
JAMIA Open
35 training papers
Top 2% 6.3%
8
JMIR Medical Informatics
16 training papers
#1 5.9%
9
PLOS ONE
1737 training papers
Top 77% 5.9%
10
International Journal of Medical Informatics
25 training papers
Top 0.6% 4.1%
11
Computers in Biology and Medicine
39 training papers
Top 2% 3.8%
12
npj Digital Medicine
85 training papers
Top 8% 3.1%
13
International Journal of Environmental Research and Public Health
116 training papers
Top 17% 1.5%
14
Frontiers in Public Health
135 training papers
Top 23% 1.3%
15
BMC Medical Research Methodology
41 training papers
Top 4% 1.3%
16
Communications Medicine
63 training papers
Top 2% 1.3%
17
Journal of Personalized Medicine
17 training papers
Top 0.4% 1.2%
18
JMIR Formative Research
31 training papers
Top 3% 1.2%
19
Patterns
15 training papers
Top 1.0% 1.2%
20
Biology Methods and Protocols
19 training papers
Top 0.6% 1.2%
21
Frontiers in Digital Health
18 training papers
Top 3% 0.9%
22
JMIR Public Health and Surveillance
45 training papers
Top 6% 0.9%
23
BMJ Open
553 training papers
Top 68% 0.7%
24
Journal of General Internal Medicine
19 training papers
Top 2% 0.7%