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Title:Insights into population health management through disease diagnoses networks
Authors:ID Feldman, Keith (Author)
ID Štiglic, Gregor (Author)
ID Dasgupta, Dipanwita (Author)
ID Kricheff, Mark (Author)
ID Obradović, Zoran (Author)
ID Chawla, Nitesh (Author)
Files:.pdf Scientific_Reports_2016_Feldman_et_al._Insights_into_Population_Health_Management_Through_Disease_Diagnoses_Networks.pdf (743,53 KB)
MD5: 72B210B6F004848AB6F69B60FC15D388
 
URL http://www.nature.com/articles/srep30465
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FZV - Faculty of Health Sciences
Abstract:The increasing availability of electronic health care records has provided remarkable progress in the field of population health. In particular the identification of disease risk factors has flourished under the surge of available data. Researchers can now access patient data across a broad range of demographics and geographic locations. Utilizing this Big healthcare data researchers have been able to empirically identify specific high-risk conditions found within differing populations. However to date the majority of studies approached the issue from the top down, focusing on the prevalence of specific diseases within a population. Through our work we demonstrate the power of addressing this issue bottom-up by identifying specifically which diseases are higher-risk for a specific population. In this work we demonstrate that network-based analysis can present a foundation to identify pairs of diagnoses that differentiate across population segments. We provide a case study highlighting differences between high and low income individuals in the United States. This work is particularly valuable when addressing population health management within resource-constrained environments such as community health programs where it can be used to provide insight and resource planning into targeted care for the population served.
Keywords:population screening, risk factors, network analysis
Publication status:Published
Publication version:Version of Record
Year of publishing:2016
Number of pages:str. 1-11
Numbering:Letn. 6
PID:20.500.12556/DKUM-66400 New window
ISSN:2045-2322
UDC:659.2:004:614
ISSN on article:2045-2322
COBISS.SI-ID:2236324 New window
DOI:10.1038/srep30465 New window
NUK URN:URN:SI:UM:DK:2CRICCP8
Publication date in DKUM:23.06.2017
Views:1726
Downloads:413
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Scientific reports
Shortened title:Sci. rep.
Publisher:Nature Publishing Group
ISSN:2045-2322
COBISS.SI-ID:18727432 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:23.06.2017

Secondary language

Language:Slovenian
Keywords:presejanje prebivalstva, faktorji tveganja, analiza omrežja


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