Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining

• Published in: Journal of personalized medicine Vol. 12; no. 1; p. 16
• Main Authors: Kim, Pum-Jun, Kim, Chulho, Lee, Sang-Hwa, Shon, Jong-Hee, Kwon, Youngsuk, Kim, Jong-Ho, Kim, Dong-Kyu, Yu, Hyunjae, Ahn, Hyo-Jeong, Jeon, Jin-Pyeong, Kim, Youngmi, Lee, Jae-Jun
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.12.2021; MDPI
• Subjects: Age; Algorithms; association rule mining; Body mass index; Cardiovascular diseases; Diabetes; Hypertension; infarction; Ischemia; Medical prognosis; Obesity; outcome research; Overweight; Precision medicine; Probability; Risk factors; risk factors in epidemiology; Stroke; Variables; infarction; outcome research; body mass index; association rule mining; risk factors in epidemiology

Though obesity is generally associated with the development of cardiovascular disease (CVD) risk factors, previous reports have also reported that obesity has a beneficial effect on CVD outcomes. We aimed to verify the existing obesity paradox through binary logistic regression (BLR) and clarify the...