Abstract
National health surveys are routinely conducted to provide value data about a country's health status and the health services being consumed by the population. This information is used for surveillance, research, and the planning of healthcare services at local and national levels. Although these national health surveys are viewed as important resources for public and population health, there is limited information as to the type of research being conducted with these surveys. This study investigates, through the use of automated text data mining, an approach to identify and collate the type of academic literature being published using national health surveys.
Original language | English |
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Title of host publication | Informatics for Health |
Subtitle of host publication | Connected Citizen-Led Wellness and Population Health |
Editors | Rebecca Randell, Ronald Cornet, Philip J. Scott, Ronald Cornet, Niels Peek, Colin McCowan |
Publisher | IOS Press |
Pages | 211-215 |
Number of pages | 5 |
ISBN (Electronic) | 9781614997528 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 235 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Bibliographical note
Publisher Copyright:© 2017 European Federation for Medical Informatics (EFMI) and IOS Press.
ASJC Scopus Subject Areas
- Biomedical Engineering
- Health Informatics
- Health Information Management
PubMed: MeSH publication types
- Journal Article