Purpose of Review
Cardiovascular diseases (CVDs) and diabetes are the primary causes of death in the Philippines. This manuscript reviewed previous studies on the use of predictive analytics for CVD and diabetes risk scoring. This paper also discussed barriers and strategies on how to access/generate available data sets for CVDs and diabetes in the country.
CVD and diabetes risk scoring requires the availability of data sets related to such diseases. Although the Philippines has taken strides to implement the Philippine National eHealth solution, such a program does not include strategies toward the use of predictive analytics for CVD and diabetes risk scoring.
CVD and diabetes risk scoring research is particularly limited in the Philippines due to challenges related to costs, gaps in policies, and stakeholder involvement. A possible theoretical framework for the analysis and utilization of data sets as well as recommendations and research directions were discussed in this manuscript.
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Dr. Gerard G. Dumancas would like to acknowledge the University of San Agustin Center for Informatics and the Office of Research and Global Relations for hosting his engagement as a Balik Scientist.
This work is financially supported by the Department of Science and Technology - Balik Scientist Program of the Philippine Council for Health Research and Development.
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Dumancas, G.G., de Castro, R., Saludes, J.P. et al. Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines. Curr Epidemiol Rep 7, 77–88 (2020). https://doi.org/10.1007/s40471-020-00232-7
- Cardiovascular disease
- Philippine health
- Predictive modeling
- Disease risk scoring
- Electronic health records