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4. Prediction of clinical outcomes using artificial neural networks for patients with acute biliary pancreatitis. Yoldaş O; Koç M; Karaköse N; Kiliç M; Tez M Pancreas; 2008 Jan; 36(1):90-2. PubMed ID: 18192888 [No Abstract] [Full Text] [Related]
5. Get optimum outcomes for acute pancreatitis patients. Amerine E Nurse Pract; 2007 Jun; 32(6):44-8. PubMed ID: 17557027 [No Abstract] [Full Text] [Related]
6. [When is cardiopulmonary resuscitation medically futile? Prognostic instruments can make difficult decisions easier]. Löfmark R; Nilstun T Lakartidningen; 1999 Mar; 96(9):1046-7. PubMed ID: 10093452 [No Abstract] [Full Text] [Related]
7. Acute pancreatitis and pancreatic cancer. Biology, diagnosis, and therapy. Proceedings of the fourth meeting of the International Association of Pancreatology and the third meeting of the International Pancreatic Cancer Study Group. August 20-23, 1990, Nagasaki City, Japan. Int J Pancreatol; 1991; 9():1-172. PubMed ID: 1744434 [No Abstract] [Full Text] [Related]
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16. [Neural networks are not different from other techniques]. Holtsberg A Lakartidningen; 1996 Oct; 93(44):3886, 3888. PubMed ID: 8965573 [No Abstract] [Full Text] [Related]
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19. [Use of artificial neural networks in survival evaluation in heart failure]. Ortiz J; Sabbatini RM; Ghefter CG; Silva CE Arq Bras Cardiol; 1995 Jan; 64(1):87-90. PubMed ID: 7669018 [No Abstract] [Full Text] [Related]
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