Back
Top 0.2%
17.9%
#1
12.0%
Top 0.4%
7.9%
Top 1%
6.5%
Top 71%
6.5%
Top 3%
6.5%
Top 4%
6.0%
Top 3%
6.0%
Top 44%
6.0%
Top 0.4%
2.0%
Top 2%
2.0%
Top 3%
2.0%
Top 36%
2.0%
Top 2%
1.4%
Top 7%
1.2%
Top 6%
1.0%
Top 62%
1.0%
Top 1%
0.7%
Top 9%
0.7%
Top 7%
0.7%
Top 3%
0.7%
Top 5%
0.7%
Top 4%
0.7%
Visualizing Geospatial and Temporal Phenotype Prevalences
2024-11-04
health informatics
Title + abstract only
View on medRxiv
Show abstract
High-throughput phenotyping strategies are capable of classifying large volumes of patients. However, translating this data to real world applications is challenging. We have developed GeoPheno, a tool which displays the geospatial prevalences of EHR-based phenotypes in the Veteran population over time. Our flexible tool can display data from a wide array of phenotypes and is integrated with the CIPHER phenotype library, allowing users to view the definitions of the conditions being visualized.
Predicted journal destinations
1
Journal of the American Medical Informatics Association
53 training papers
2
JAMIA Open
35 training papers
3
BMC Medical Informatics and Decision Making
36 training papers
4
Journal of Biomedical Informatics
37 training papers
5
PLOS ONE
1737 training papers
6
npj Digital Medicine
85 training papers
7
PLOS Digital Health
88 training papers
8
Journal of Medical Internet Research
81 training papers
9
Scientific Reports
701 training papers
10
Bioinformatics
24 training papers
11
JMIR Medical Informatics
16 training papers
12
International Journal of Medical Informatics
25 training papers
13
Nature Communications
483 training papers
14
Scientific Data
30 training papers
15
Computers in Biology and Medicine
39 training papers
16
BMC Medical Research Methodology
41 training papers
17
BMJ Open
553 training papers
18
Annals of Internal Medicine
27 training papers
19
JMIR Public Health and Surveillance
45 training papers
20
JMIR Formative Research
31 training papers
21
Patterns
15 training papers
22
European Journal of Epidemiology
36 training papers
23
Frontiers in Digital Health
18 training papers