Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.

Amin MansooriZeinab Sadat HosseiniRana Kolahi AhariMohadeseh PoudinehElias Sadooghi RadMostafa Mahmoudi ZoFaezeh Salmani IzadiMahdieh HoseinpourAmirreza MiralizadehYalda Alizadeh MashhadiMaryam HormoziMohadeseh Taj FiroozehOmolbanin HajhoseiniGordon FernsHabibollah EsmailyMajid Ghayour Mobarhan

Published in: High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension (2023)

BRI and age in male and age and BMI in female had the greatest association with CVDs. Also, BRI and BMI was the strongest indices for this prediction.

Keyphrases

cardiovascular disease
body mass index
machine learning
weight gain
body composition
deep learning
type diabetes
cardiovascular risk factors
metabolic syndrome