Abstract
As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women’s heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.
| Original language | English |
|---|---|
| Pages (from-to) | 581-587 |
| Number of pages | 7 |
| Journal | Acta Cardiologica Sinica |
| Volume | 33 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 1 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Big database
- Cardiovascular diseases
- National Health Insurance Research Database (NHIRD)
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
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