PopHR: a knowledge‐based platform to support integration, analysis, and visualization of population health data

Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integrate data and present a coherent portrait of popul...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Annals of the New York Academy of Sciences Ročník 1387; číslo 1; s. 44 - 53
Hlavní autoři:	Shaban‐Nejad, Arash, Lavigne, Maxime, Okhmatovskaia, Anya, Buckeridge, David L.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Wiley Subscription Services, Inc 01.01.2017
Témata:	Biological Ontologies - trends Data Mining - methods Data Mining - trends Decision making Decision Making, Computer-Assisted Electronic Health Records Epidemiology Evidence-Based Medicine - methods Evidence-Based Medicine - trends health data analytics health informatics Health Status Indicators Humans Image Interpretation, Computer-Assisted - methods Internet Population population health record population health surveillance Public health Public Health Informatics - methods Public Health Informatics - trends semantic data modeling Semantic web Software Software Design Systems Integration semantic data modeling health informatics population health surveillance population health record health data analytics
ISSN:	0077-8923, 1749-6632
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!