The Claim
The HeartScore algorithm, based on a fuzzy logic system, estimates 10-year fatal cardiovascular risk in a sample of 96 Turkish adults with high agreement to European guidelines and produces statistically significant differences in risk scores between individuals with and without smoking status (p=0.00036).
What the research says
Not yet evaluated
We are still looking at what the research says.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
A computer algorithm called HeartScore calculates the risk of dying from heart disease over 10 years using factors like smoking status, and its results match European medical guidelines closely. It reliably distinguishes between people who smoke and those who do not, based on statistical analysis of 96 Turkish adults.
See the scientific wording
The same fuzzy logic system estimates 10-year fatal cardiovascular risk using the HeartScore algorithm with high agreement to European guidelines, and correctly differentiates risk scores between individuals with and without smoking status, as shown by a statistically significant difference (p=0.00036) in a sample of 96 Turkish adults.
The system takes in data like age, blood pressure, cholesterol, and smoking status, and uses rules based on how these factors interact to calculate how likely someone is to die from heart disease in 10 years.
What the research says
1 studyThe computer system used in the study can tell how likely someone is to die from heart disease in 10 years, and it correctly showed that smokers have a higher risk than non-smokers — and it did this accurately with data from 96 Turkish people.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.