Back
Top 53%
11.8%
Top 1%
9.0%
Top 27%
7.8%
Top 2%
7.8%
Top 0.8%
7.8%
Top 0.4%
7.8%
Top 3%
6.4%
Top 1%
6.4%
Top 3%
6.0%
#1
5.6%
Top 0.5%
4.2%
Top 2%
3.9%
Top 0.5%
1.6%
Top 4%
1.3%
Top 2%
1.3%
Top 23%
1.2%
Top 9%
1.0%
Top 0.7%
0.9%
Top 2%
0.9%
Top 33%
0.7%
Top 24%
0.7%
Top 10%
0.7%
Bayesian Logical Neural Networks for Human-Centered Applications in Medicine
2021-11-16
health informatics
Title + abstract only
View on medRxiv
Show abstract
Medicine is characterized by its inherent ambiguity, i.e., the difficulty to identify and obtain exact outcomes from available data. Regarding this problem, electronic Health Records (EHRs) aim to avoid imprecisions in the data recording, for instance by its recording in an automatic way or by the integration of data that is both readable by humans and machines. However, the inherent biology and physiological processes introduce a constant epistemic uncertainty, which has a deep implication in t...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
PLOS Digital Health
88 training papers
3
Scientific Reports
701 training papers
4
Journal of the American Medical Informatics Association
53 training papers
5
Journal of Biomedical Informatics
37 training papers
6
BMC Medical Informatics and Decision Making
36 training papers
7
npj Digital Medicine
85 training papers
8
JAMIA Open
35 training papers
9
Journal of Medical Internet Research
81 training papers
10
JMIR Medical Informatics
16 training papers
11
International Journal of Medical Informatics
25 training papers
12
Computers in Biology and Medicine
39 training papers
13
Frontiers in Digital Health
18 training papers
14
BMC Medical Research Methodology
41 training papers
15
JMIR Formative Research
31 training papers
16
International Journal of Environmental Research and Public Health
116 training papers
17
Heliyon
57 training papers
18
Journal of Personalized Medicine
17 training papers
19
Patterns
15 training papers
20
Frontiers in Public Health
135 training papers
21
Frontiers in Medicine
99 training papers
22
JMIR Public Health and Surveillance
45 training papers