Architecture of a neural network client / server system for decision support in clinical information systems

Studies in Health Technology and Informatics

Volumn 52, Issue , 1998, Pages 488-492

  Leon, Mauricio ^a   Keller, James ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b University of Missouri   (United States)

Author keywords

Decision Support; Neural Networks; Outcome Analysis

Indexed keywords

CLINICAL RESEARCH; COMPUTER ARCHITECTURE; DECISION SUPPORT SYSTEMS; DIAGNOSIS; MEDICAL INFORMATION SYSTEMS; NEURAL NETWORKS;

CLIENT/SERVER SYSTEMS; CLINICAL INFORMATION; CLINICAL INFORMATION SYSTEM; DECISION SUPPORTS; OUTCOME ANALYSIS; PREDICTIVE CAPABILITIES; RESEARCH EFFORTS; RESEARCH POTENTIAL;

NETWORK ARCHITECTURE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; HUMAN;

DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; HUMANS; NEURAL NETWORKS (COMPUTER); SOFTWARE;

EID: 84887682121     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-896-0-488     Document Type: Conference Paper

References (18)

1. Leon MA, Keller J.Toward implementation of artificial neural networks that really work.Proc AMIA Annu Fall Symp 1997; 183-7.
2. HedenB, Ohlsson M, Hoist H, Mjoman M, Rittner R, Pahlm O, Peterson C.Detection of frequently overlooked electrocardiographic lead reversals using artifi-cial neural networks.American Journal of Cardiology 1996: 78(5): 600-4.
3. Brigatti L, Hoffman D, Caprioli J.Neural networks to identify glaucoma with structural and functional measurements.American Journal of Ophthalmology 1996: 121(5): 511-21.
4. Dybowski R, Weller P, Chang R, Gant V.Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm.Lancet 1996: 347(9009): 1146-50.
5. Baxt WG, Skora J.Prospective validation of artifi-cial neural network trained to identify acute myocardial in-farction.Lancet 1996: 347(8993): 12-5
6. Dombi GW Nandi P Saxe JM Ledeerwood AM Lucas CE.Prediction of rib fracture injury outcome by an artificial neural network.Journal of Trauma 1995: 39(5): 91521.
7. Gurney JW, Swensen SJ.Solitary pulmonary nodules: determining The likelihood of malignancy with neu-ral network analysis.Radiology 1995: 196(3): 823-9.
8. Doyle HR, Dvorchik I, Mitchell S, Marino IR, Ebert FH, McMichael J, Fung JJ.Predicting outcomes after liver transplantation.A connectionist approach.Annals of Surgery 1994:219(4): 408-15.
9. Freeman DT.Computer recognition of brain stem auditory evoked potential wave V by A neural network.Annals of Otology, Rhinology &Laryngology 1992: 101(9): 78290.
10. Leon MA, Keller J.Toward implementation of artificial neural networks that really work.Proc AMIA Annu Fall Symp 1997; 183-7.
11. HedenB, Ohlsson M, Hoist H, Mjoman M, Rittner R, Pahlm O, Peterson C.Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks.American Journal of Cardiology 1996: 78(5): 600-4.
12. Brigatti L, Hoffman D, Caprioli J.Neural networks to iden-tify glaucoma with structural and functional measurements.American Journal of Ophthalmology 1996: 121(5): 511-21.
13. Dybowski R, Weller P, Chang R, Gant V.Prediction of out-come in critically ill patients using artificial neural network synthesised by genetic algorithm.Lancet 1996: 347(9009): 1146-50.
14. Baxt WG, Skora J.Prospective validation of artificial neu-ral network trained to identify acute myocardial infarction.Lancet 1996: 347(8993): 12-5.
15. Dombi GW, Nandi P, Saxe JM, Ledgerwood AM, Lucas CE.Prediction of rib fracture injury outcome by an artificial neural network.Journal of Trauma 1995: 39(5): 91521.
16. Gurney JW, Swensen SJ.Solitary pulmonary nodules: determining The likelihood of malignancy with neural network analysis.Radiology 1995: 196(3): 823-9.
17. Doyle HR, Dvorchik I, Mitchell S, Marino IR, Ebert FH, McMichael J, Fung JJ.Predicting outcomes after liver transplantation.A connectionist approach.Annals of Surgery 1994: 219(4): 408-15.
18. Freeman DT.Computer recognition of brain stem auditory evoked potential wave V by A neural network.Annals of Otology, Rhinology &Laryngology 1992: 101(9): 78290.