shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area.


Journal

JCO clinical cancer informatics
ISSN: 2473-4276
Titre abrégé: JCO Clin Cancer Inform
Pays: United States
ID NLM: 101708809

Informations de publication

Date de publication:
01 2022
Historique:
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 30 4 2022
Statut: ppublish

Résumé

The University of Kansas Cancer Center (KU Cancer Center) recently developed a data warehouse to Organize and Prioritize Trends to Inform KU Cancer Center (OPTIK). The OPTIK database aggregates and standardizes data collected across the bistate catchment area served by the KU Cancer Center. To improve the usability of the OPTIK database, we developed Data in the OPTIK database were first consolidated at the county level across the KU Cancer Center catchment area. Next, the Two examples, adult obesity prevalence and lung cancer mortality, are presented to illustrate how researchers can use Although

Identifiants

pubmed: 35015561
doi: 10.1200/CCI.21.00118
pmc: PMC9848578
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2100118

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM130423
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA168524
Pays : United States

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Auteurs

Qing Xia (Q)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS.

Dinesh Pal Mudaranthakam (DP)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS.
The University of Kansas Cancer Center, Kansas City, KS.

Lynn Chollet-Hinton (L)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS.
The University of Kansas Cancer Center, Kansas City, KS.

Ronald Chen (R)

The University of Kansas Cancer Center, Kansas City, KS.
Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS.

Hope Krebill (H)

The University of Kansas Cancer Center, Kansas City, KS.

Hanluen Kuo (H)

The University of Kansas Cancer Center, Kansas City, KS.

Devin C Koestler (DC)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS.
The University of Kansas Cancer Center, Kansas City, KS.

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Classifications MeSH