- Shifting from Pharmacotherapy to Prevention of Hypertension
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Cheung BMY, Tsoi MF
- KMID: 2536972
- Cardiovasc Prev Pharmacother.
- 2020 Apr;2(2):33-42.
- doi: 10.36011/cpp.2020.2.e8
Hypertension is a common chronic disease affecting a large section of the general population. As hypertension is usually asymptomatic, awareness, treatment and control rates are low. Drug side-effects also affect... -
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- Effects of Low-Carbohydrate, High-Fat Diets on Weight Loss, Cardiovascular Health and Mortality
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Kim BY
- KMID: 2536973
- Cardiovasc Prev Pharmacother.
- 2020 Apr;2(2):43-49.
- doi: 10.36011/cpp.2020.2.e7
Obesity is a worldwide health challenge. The clinical consequences of obesity include nonalcoholic fatty liver disease, type 2 diabetes, and coronary heart disease. Numerous diets have been developed to reduce... -
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- CHA2DS2-VASc Score Is Correlated with Cardiac Performance in Chronic Atrial Fibrillation
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Jeon DS, Kim MJ, Lee W, Lee D, Choi IJ
- KMID: 2536975
- Cardiovasc Prev Pharmacother.
- 2020 Apr;2(2):56-62.
- doi: 10.36011/cpp.2020.2.e9
Background: The CHA2DS2-VASc score is a popular tool for risk prediction of thromboembolism in patients with atrial fibrillation (AF). Each component of the CHA2DS2-VASc scheme is an established risk factor... -
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- From Traditional Statistical Methods to Machine and Deep Learning for Prediction Models
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Lee JH, Kang DR
- KMID: 2536974
- Cardiovasc Prev Pharmacother.
- 2020 Apr;2(2):50-55.
- doi: 10.36011/cpp.2020.2.e6
Traditional statistical methods have low accuracy and predictability in the analysis of large amounts of data. In this method, non-linear models cannot be developed. Moreover, methods used to analyze data... -
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