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

Many studies have been published to assess the best anthropometric measurements associated with cardiovascular diseases (CVDs), but controversies still exist. Investigating the association between CVDs and anthropometric measurements among Iranian adults. For a total population of 9354 aged 35 to 65...

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Veröffentlicht in:	High Blood Pressure & Cardiovascular Prevention 2023-05, Vol.30 (3), p.243-253
Hauptverfasser:	Mansoori, Amin, Hosseini, Zeinab Sadat, Ahari, Rana Kolahi, Poudineh, Mohadeseh, Rad, Elias Sadooghi, Zo, Mostafa Mahmoudi, Izadi, Faezeh Salmani, Hoseinpour, Mahdieh, Miralizadeh, Amirreza, Mashhadi, Yalda Alizadeh, Hormozi, Maryam, Firoozeh, Mohadeseh Taj, Hajhoseini, Omolbanin, Ferns, Gordon, Esmaily, Habibollah, Mobarhan, Majid Ghayour
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Adults Angina pectoris Anthropology Atherosclerosis Body fat Body Mass Index Cardiovascular disease Cardiovascular Diseases - complications Cardiovascular Diseases - diagnosis Cardiovascular Diseases - epidemiology Cohort analysis Cohort Studies Data mining Diabetes Electrocardiography Health care Health risk assessment Health risks Heart attacks Humans Hypertension Iran - epidemiology Machine learning Males Medical imaging Metabolic disorders Metabolic syndrome Obesity Obesity - epidemiology Overweight Population Prospective Studies Regression analysis Risk Factors Waist Circumference Waist-Height Ratio
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