Artificial neural networks. Theory and applications in anaesthesia, intensive care and emergency medicine;Künstliche neuronale Netze: Theorie und Anwendungen in der Anästhesie, Intensiv- und Notfallmedizin

Anaesthesist

Volumn 52, Issue 11, 2003, Pages 1055-1061

  Traeger, M ^d   Eberhart, A ^a   Geldner, G ^b   Morin, A M ^b   Putzke, C ^b   Wulf, H ^b   Eberhart, L H J ^b,c  

^a International University in Germany   (Germany)

^b UNIVERSITY HOSPITAL MARBURG   (Germany)

^c PHILIPPS UNIVERSITY MARBURG   (Germany)

^d NONE

Author keywords

Artifical intelligence; Artificial neural networks; Predictive models

Indexed keywords

ALGORITHM; ANESTHESIOLOGY; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CENTRAL NERVOUS SYSTEM; COMPUTER PREDICTION; COMPUTER SIMULATION; COMPUTER SYSTEM; EMERGENCY MEDICINE; HUMAN; INTENSIVE CARE; METHODOLOGY; REVIEW; TRAINING;

ANESTHESIOLOGY; ARTIFICIAL INTELLIGENCE; EMERGENCY MEDICINE; HUMANS; INTENSIVE CARE; NEURAL NETWORKS (COMPUTER);

EID: 0242468658     PISSN: 00032417     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00101-003-0576-x     Document Type: Review

References (19)

1. Baxt WG (1991) Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med 115:843-848
2. Baxt WG (1992) Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. Ann Emerg Med 21:1439-1444
3. Baxt WG, Shofer FS, Sites FO, Hollander JE (2002) A neural computational aid to the diagnosis of acute myocardial infarction. Ann Emerg Med 39:366-373
4. Dybowski R, Weller P, Chang R, Gant V (1996) Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm. Lancet 347:1146-1150
5. Ebell H (1993) Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation. J Fam Pract 36:297-303
6. Flanagan JR, Pittet D, Li N, Thievent B, Suter PM, Wenzel RP (1996) Predicting survival of patients with sepsis by use of regression and neural network models. Perform Qual Health Care 4:96-103
7. Geldner G, Schwarz U, Ruoff M, Romeiser J, Lendl M, Schutz W, Georgieff M (1999) Entwicklung eines neuen Closed-Loop Systems. Regelung einer Mivacurium-indizierten neuromuskulären Blockade. Anaesthesist 48:157-162
8. Kamangar FA, Behbehani K (1997) An artificial neural network-based controller for the control of induced paralysis using vecuronium bromide. Ann Biomed Eng 25:1040-1051
9. Kennedy RL, Harrison RF, Burton AM et al. (1997) An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements. Comput Methods Programs Biomed 52:93-103
10. Laffey JG, Tobin E, Boylan JF, McShane AJ (2003) Assessment of a simple artificial neural network for predicting residual neuromuscular block. Br J Anaesth 90:48-52
11. Lawrence J (1992) Neuronale Netze - Computersimulation biologischer Intelligenz. Systhema, München
12. Patterson, Dan W (1997) Künstliche neuronale Netze - Das Lehrbuch. Prentice Hall, München London Mexiko
13. Rutledge R (1995) Injury severity and probability of survival assessment in trauma patients using a predictive hierarchical network model derived from ICD-9 codes. J Trauma 38:590-601
14. Santanen OAP, Svartling N, Haasio J, Paloheimo MPJ (2003) Neural nets and prediction of the recovery rate from neuromuscular block. Eur J Anaesth 20:87-92
15. Tu JV (1996) Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 49:1225-1231
16. Tu JV, Guerriere MRJ (1993) Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. Comput Biomed Res 26:220-229
17. Tu JV, Mazer CD, Levinton C, Armstrong PW, Naylor CD (1994) A predictive index for length of stay in the intensive care unit following cardiac surgery. Can Med Assoc J 151:177-185
18. Wong LS, Young JO (1999) A comparison of ICU mortality prediction using the APACHE II scoring system and artificial neural networks. Anaesthesia 54:1048-1054
19. Zell A (1996) Simulation neuronaler Netze. Addison-Wesley, München