摘要: The increasing complexity of medicine has emphasized the need to accurately detect, even anticipate changes in patient’s condition, and closely follow effects therapy. At same time, advancements technology are enabling us measure monitor many physiological variables simultaneously real some cases administer therapy automatically. quickly process interpret an overwhelming amount information is paving way for applications artificial intelligence general, critical care particular.
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Donald O. Hebb, The organization of behavior Neurocomputing: foundations of research. pp. 43- 54 ,(1988)
K. J. Inman, J. M. Robertson, C. M. Martin, G. S. Doig, W. J. Sibbald, Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression. annual symposium on computer application in medical care. pp. 361- 365 ,(1993)
M. Akay, W. Welkowitz, Acoustical detection of coronary occlusions using neural networks Journal of Biomedical Engineering. ,vol. 15, pp. 469- 473 ,(1993) , 10.1016/0141-5425(93)90060-C
M. Leon, D. Mangar, J. Rasanen, NEURAL NETWORK DETECTION OF ESOPHAGEAL INTUBATION IN HUMANS Anesthesiology. ,vol. 81, pp. A626- ,(1994) , 10.1097/00000542-199409001-00625
Michael D. McGonigal, John Cole, C. William Schwab, Donald R. Kauder, Michael F. Rotondo, Peter B. Angood, A NEW APPROACH TO PROBABILITY OF SURVIVAL SCORING FOR TRAUMA QUALITY ASSURANCE The Journal of Trauma: Injury, Infection, and Critical Care. ,vol. 34, pp. 863- 870 ,(1993) , 10.1097/00005373-199306000-00018
Sanjay Patil, Jerald W. Henry, Melvyn Rubenfire, Paul D. Stein, Neural network in the clinical diagnosis of acute pulmonary embolism. Chest. ,vol. 104, pp. 1685- 1689 ,(1993) , 10.1378/CHEST.104.6.1685
G D Tourassi, C E Floyd, H D Sostman, R E Coleman, Acute pulmonary embolism: artificial neural network approach for diagnosis. Radiology. ,vol. 189, pp. 555- 558 ,(1993) , 10.1148/RADIOLOGY.189.2.8210389
L. EDENBRANDT, B. DEVINE, P. W. MACFARLANE, Classification of electrocardiographic ST-T segments — human expert vs artificial neural network European Heart Journal. ,vol. 14, pp. 464- 468 ,(1993) , 10.1093/EURHEARTJ/14.4.464
William G Baxt, Analysis of the clinical variables driving decision in an artificial neural network trained to identify the presence of myocardial infarction. Annals of Emergency Medicine. ,vol. 21, pp. 1439- 1444 ,(1992) , 10.1016/S0196-0644(05)80056-3
T P Egbert, W. Westensko, Detection of artifact in pulse oximetry signals using a neural network Anesthesiology. ,vol. 77, ,(1992) , 10.1097/00000542-199209001-00521