The synthesis of the rough set model for the better applicability of sagittal abdominal diameter in identifying high risk patients.
This paper aims to investigate possible application of the rough set approach to table-organized data in the medical domain, which reveals some relationships among sagittal abdominal diameter, anthropometric parameters and cardiovascular risk factors. When applied to table-organized data, the methodology based on the rough set theory is capable of producing decision rules in the form of If-Then rules. Such rules are suitable for inspection, examination and further analysis. By examination of the selected 30 decision rules, sagittal abdominal diameter could point out a group of obese and preobese patients with high content of visceral fat with different combination and composition of cardiovascular risk factors. These results suggest that sagittal abdominal diameter could be a clinically useful marker for identification of risk factors, combination and structure of total cardiovascular risk by applying different rules in obese and preobese persons.
Stokić
Edita
E
Department of Endocrinology, Diabetes and Metabolism, Clinical Centre Vojvodina, Hajduk Veljkova 1-3, Novi Sad, Serbia.
Brtka
Vladimir
V
Srdić
Biljana
B
D000005:Abdomen / Q000033:anatomy & histology*; D000328:Adult; D000886:Anthropometry; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000209:etiology* / Q000473:pathology; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000033:anatomy & histology; D008297:Male; D008875:Middle Aged; D009765:Obesity; D012306:Risk; D012307:Risk Factors