Cardiovascular Risk Prediction and Prevention. A 4 P Approach

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Cardiovascular Risk Prediction and Prevention. A 4 P Approach by Mind Map: Cardiovascular Risk Prediction and Prevention. A 4 P Approach

1. Strong Suspicion of NonLinearity of relationships

2. Ability to deal with multiple variables: grid learning, Voronoi tesellation.....

3. PROTECTING THE PEOPLE

4. POWERFUL PREDICTION

5. PERSONALIZATION

6. PARTICIPATION

7. Spot outliers. They may have the key....either lucky or misfortunate ones

7.1. Aim at outliers as cases to build case-control studies and target GWAS or advanced imaging on them.

8. Patient Based

8.1. people provide data

8.2. people are rewarded by education and feedback

8.3. Tools: web, smartphones apps

9. GP backed: medication and event reporting

10. Continous Over Time

10.1. Turn Point Data Into Time Series

10.2. Assess the effect of treatment versus original absence of a risk factor

10.3. Provide feedback to participants . Ethical commitment to reduce risk as assessed by current knowledge

11. Machine Learning Backup

12. Focused Use of Powerful tools of Genomic analysis and advanced imaging techniques