id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wqzwnytcxjgfhkid6c7remx4za	Maria A. Ivanchuk	Mathematical Modeling of the Expert System Predicting the Severity of Acute Pancreatitis	2014	5	.pdf	application/pdf	3457	650	70	The method of building the hyperplane which separates the convex hulls in the Euclidean space 𝑅𝑛 is proposed. prediction of the presence of severity in patients based on this method is developed and applied in practice to predict the presence of severity in patients with acute pancreatitis. accurate predicting of acute pancreatitis' severity becomes an the second features cluster-specific baseline rates. prediction of severity in patients). Separation of the Convex Hulls. To build the convex hull conv new convex hulls and find the outliers. find the patients with severity, so we rejected the outliers from in Patients with Acute Pancreatitis. We got 8 hyperplanes which separate the convex hulls The method of separation of convex hulls in Euclidean space to predict the presence of severity in patients with acute the developed mathematical model predicting the severity of severe disease in patients with acute pancreatitis," Journal of	./cache/work_wqzwnytcxjgfhkid6c7remx4za.pdf	./txt/work_wqzwnytcxjgfhkid6c7remx4za.txt