Artificial neural networks in outcome prediction

Annales Chirurgiae et Gynaecologiae

Volumn 87, Issue 2, 1998, Pages 128-130

  Lundin, J ^a  

^a HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

Author keywords

Neural networks; Outcome prediction

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; HEALTH CARE SYSTEM; HOSPITAL CARE; MEDICAL DECISION MAKING; PREDICTION; PROGNOSIS; QUALITY CONTROL; REVIEW; SURGICAL RISK; TREATMENT OUTCOME;

HUMANS; NEURAL NETWORKS (COMPUTER); PROGNOSIS; RISK; TREATMENT OUTCOME; VASCULAR SURGICAL PROCEDURES;

EID: 0031810634     PISSN: 03559521     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (15)

1. Rumelhart DE, Hinton GE, Williams RJ: Learning representations by back-propagating errors. Nature 323: 533-536, 1986
2. Baxt WG: Application of artificial neural networks to clinical medicine. Lancet 346: 1135-1138, 1995
3. Baxt WG, Skora J: Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet 347: 12-15, 1996
4. Heden B, Ohlin H, Rittner R, Edenbrandt L: Acute myocardial infarction detected in the 12-lead ECG by artificial neural networks. Circulation 96: 1798-1802, 1997
5. Dybowski R, Gant V: Artificial neural networks in pathology and medical laboratories. Lancet 346: 1203-1207, 1995
6. Ebell MH: Artificial neural networks for predicting failure to survive following in hospital cardiopulmonary resuscitation. J Fam Pract 36: 297-303, 1993
7. Doyle HR, Dvorchik I, Mitchell S, Marino IR, Ebert FH, McMichael J, Fung JJ: Predicting outcomes after liver transplantation. A connectionist approach. Ann Surg 219: 408-415, 1994
8. Burke HB, Goodman PH, Rosen DB, Henson DE, Weinstein JN, Harrell FE, Marks JR, Winchester DP, Bostwick DG: Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 79: 857-862, 1997
9. Jefferson MF, Pendleton N, Lucas SB, Horan MA: Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with non-small cell lung carcinoma. Cancer 79: 1338-1342, 1997
10. Orr RK: Use of a probabilistic neural network to estimate the risk of mortality after cardiac surgery. Med Decis Making 17: 178-185, 1997
11. Lippmann RP, Shahian DM: Coronary artery bypass risk prediction using neural networks. Ann Thorac Surg 63: 1635-1643, 1997
12. Lapuerta P, GJ LI, Paul S, Hendel RC, Leppo JA, Fleisher LA, Cohen MC, Eagle KA, Giugliano RP: Neural network assessment of perioperative cardiac risk in vascular surgery patients. Med Decis Making 18: 70-75, 1998
13. Burke HB: Statistical analysis of complex systems in biomedicine. In: Learning from data. AI and statistics V. Eds D Fisher, HJ Lenz. Springer-Verlag, 1996, pp. 251-258
14. Baxt WG: Complexity, chaos and human physiology: the justification for non-linear neural computational analysis. Cancer Lett 77: 85-93, 1994
15. Ohno-Machado L: Identification of low frequency patterns in backpropagation neural networks. Proceedings - the Annual Symposium on Computer Applications in Medical Care: 853-859, 1994