-
1
-
-
0030993579
-
Electrocardiographic and hemodynamic changes and their association with myocardial infarction during coronary artery bypass surgery: A multicenter study
-
DOI 10.1097/00000542-199703000-00009
-
Jain U, Laflamme CJA, Aggarwal A, et al. Electrocardiographic and hemodynamic changes and their association with myocardial infarction during coronary artery bypass surgery. Anesthesiology. 1997;86:576-91. (Pubitemid 27118340)
-
(1997)
Anesthesiology
, vol.86
, Issue.3
, pp. 576-591
-
-
Jain, U.1
Laflamme, C.J.A.2
Aggarwal, A.3
Ramsay, J.G.4
Comunale, M.E.5
Ghoshal, S.6
Ngo, L.7
Ziola, K.8
Hollenberg, M.9
Mangano, D.T.10
-
2
-
-
10944222205
-
Anesthetic management and one-year mortality after noncardiac surgery
-
DOI 10.1213/01.ANE.0000147519.82841.5E
-
Monk TG, Saini V, Weldon C, Sigl JC. Anesthetic management and 1-year mortality after noncardiac surgery. Anesth Analg. 2005;100:4-10. (Pubitemid 40013594)
-
(2005)
Anesthesia and Analgesia
, vol.100
, Issue.1
, pp. 4-10
-
-
Monk, T.G.1
Saini, V.2
Weldon, B.C.3
Sigl, J.C.4
-
3
-
-
23944441083
-
Predictors of hypotension after induction of general anesthesia
-
DOI 10.1213/01.ANE.0000175214.38450.91
-
Reich DL, Hossain S, Krol M, et al. Predictors of hypotension after induction of general anesthesia. Anesth Analg. 2005;101:622-8. (Pubitemid 41208481)
-
(2005)
Anesthesia and Analgesia
, vol.101
, Issue.3
, pp. 622-628
-
-
Reich, D.L.1
Hossain, S.2
Krol, M.3
Baez, B.4
Patel, P.5
Bernstein, A.6
Bodian, C.A.7
-
4
-
-
0032836514
-
Intraoperative hemodynamic predictors of mortality, stroke, and myocardial infarction after coronary artery bypass surgery
-
DOI 10.1097/00000539-199910000-00002
-
Reich DL, Bodian CA, Krol M, et al. Intraoperative hemodynamic predictors of mortality, stroke and myocardial infarction following coronary artery bypass surgery. Anesth Analg. 1999;89: 814-22. (Pubitemid 29458450)
-
(1999)
Anesthesia and Analgesia
, vol.89
, Issue.4
, pp. 814-822
-
-
Reich, D.L.1
Bodian, C.A.2
Krol, M.3
Kuroda, M.4
Osinski, T.5
Thys, D.M.6
-
5
-
-
0033024002
-
The influence of age on propofol pharmacodynamics
-
DOI 10.1097/00000542-199906000-00003
-
Schnider TW, Minto CF, Shafer SL. et al. The influence of age on propofol pharmacodynamics. Anesthesiology. 1999;90:1502-16. (Pubitemid 29254792)
-
(1999)
Anesthesiology
, vol.90
, Issue.6
, pp. 1502-1516
-
-
Schnider, T.W.1
Minto, C.F.2
Shafer, S.L.3
Gambus, P.L.4
Andresen, C.5
Goodale, D.B.6
Youngs, E.J.7
-
6
-
-
10944223457
-
Autonomic mechanisms in the age-related hypotensive effect of propofol
-
DOI 10.1213/01.ANE.0000140242.25232.41
-
Memtsoudis SG, Andrew HS, Heerdt PM. Autonomic mechanisms in the age-related hypotensive effect of propofol. Anesth Analg. 2005;100:111-5. (Pubitemid 40013614)
-
(2005)
Anesthesia and Analgesia
, vol.100
, Issue.1
, pp. 111-115
-
-
Memtsoudis, S.G.1
The, A.H.S.2
Heerdt, P.M.3
-
7
-
-
0029840811
-
Neural networks in clinical medicine
-
DOI 10.1177/0272989X9601600409
-
Penny W, Frost D. Neural networks in clinical medicine. Med Decis Making. 1996;16:386-98. (Pubitemid 26337641)
-
(1996)
Medical Decision Making
, vol.16
, Issue.4
, pp. 386-398
-
-
Penny, W.1
Frost, D.2
-
8
-
-
0027495376
-
Neural network in the clinical diagnosis of acute pulmonary embolism
-
Patil S, Henry JW, Rubenfire M, Stein PD. Neural network in the clinical diagnosis of acute pulmonary embolism. Chest. 1993;104:1685-9. (Pubitemid 23360091)
-
(1993)
Chest
, vol.104
, Issue.6
, pp. 1685-1689
-
-
Patil, S.1
Henry, J.W.2
Rubenfire, M.3
Stein, P.D.4
-
9
-
-
0037351361
-
Prediction of community-acquired pneumonia using artificial neural networks
-
DOI 10.1177/0272989X03251247
-
Heckerling PS, Gerber BS, Tape TG, Wigton RS. Prediction of community-acquired pneumonia using artificial neural networks. Med Decis Making. 2003;23:112-21. (Pubitemid 36373393)
-
(2003)
Medical Decision Making
, vol.23
, Issue.2
, pp. 112-121
-
-
Heckerling, P.S.1
Gerber, B.S.2
Tape, T.G.3
Wigton, R.S.4
-
10
-
-
61349119390
-
Artificial neural network to predict skeletal metastasis in patients with prostate cancer
-
Chiu JS, Wang YF, Su YC, Wei LH, Liao JG, Li YC. Artificial neural network to predict skeletal metastasis in patients with prostate cancer. J Med Syst. 2009;33:91-100.
-
(2009)
J Med Syst
, vol.33
, pp. 91-100
-
-
Chiu, J.S.1
Wang, Y.F.2
Su, Y.C.3
Wei, L.H.4
Liao, J.G.5
Li, Y.C.6
-
11
-
-
0032191932
-
ECG pattern recognition and classification using non-linear transformations and neural networks: A review
-
DOI 10.1016/S1386-5056(98)00138-5, PII S1386505698001385
-
Maglaveras N, Stamkopoulos T, Diamantaras K, Pappas C, Strintzis M. ECG pattern recognition and classification using nonlinear transformations and neural networks: a review. Int J Med Inform. 1998;52:191-208. (Pubitemid 28529655)
-
(1998)
International Journal of Medical Informatics
, vol.52
, Issue.1-3
, pp. 191-208
-
-
Maglaveras, N.1
Stamkopoulos, T.2
Diamantaras, K.3
Pappas, C.4
Strintzis, M.5
-
12
-
-
17744374301
-
Classification of EEG signals using neural network and logistic regression
-
DOI 10.1016/j.cmpb.2004.10.009
-
Subasi A, Erçelebi E. Classification of EEG signals using neural network and logistic regression. Comput Meth Prog Biomed. 2005;78:87-99. (Pubitemid 40575687)
-
(2005)
Computer Methods and Programs in Biomedicine
, vol.78
, Issue.2
, pp. 87-99
-
-
Subasi, A.1
Ercelebi, E.2
-
13
-
-
0033969016
-
Neural network modeling for surgical decisions on traumatic brain injury patients
-
DOI 10.1016/S1386-5056(99)00054-4, PII S1386505699000544
-
Li YC, Liu L, Chiu WT, Jian WS. Neural network modeling for surgical decisions on traumatic brain injury patients. Int J Med Inform. 2000;57:1-9. (Pubitemid 30069902)
-
(2000)
International Journal of Medical Informatics
, vol.57
, Issue.1
, pp. 1-9
-
-
Li, Y.-C.1
Liu, L.2
Chiu, W.-T.3
Jian, W.-S.4
-
14
-
-
0036363091
-
Neural network modelling to predict the hypnotic effect of propofol bolus induction
-
Lin CS, Li YC, Mok MS, Wu CC, Chiu HW, Lin YH. Neural network modelling to predict the hypnotic effect of propofol bolus induction. Proc AMIA Symp. 2002;450-3.
-
(2002)
Proc AMIA Symp
, pp. 450-453
-
-
Lin, C.S.1
Li, Y.C.2
Mok, M.S.3
Wu, C.C.4
Chiu, H.W.5
Lin, Y.H.6
-
15
-
-
52949083181
-
Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks
-
Lin CS, Chiu JS, et al. Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks. Comput Meth Prog Biomed. 2008;92:193-7.
-
(2008)
Comput Meth Prog Biomed
, vol.92
, pp. 193-197
-
-
Lin, C.S.1
Chiu, J.S.2
-
16
-
-
44949169359
-
Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data
-
Lin CC, Wan YC, Chen JY, et al. Artificial neural network prediction of clozapine response with combined pharmacogenetic and clinical data. Comput Meth Prog Biomed. 2008;91:91-9.
-
(2008)
Comput Meth Prog Biomed
, vol.91
, pp. 91-99
-
-
Lin, C.C.1
Wan, Y.C.2
Chen, J.Y.3
-
17
-
-
77950326901
-
Easy and low-cost identification of metabolic syndrome in patients treated with second-generation antipsychotics: Artificial neural network and logistic regression models
-
Lin CC, Bai YM, Chen JY, et al. Easy and low-cost identification of metabolic syndrome in patients treated with second-generation antipsychotics: artificial neural network and logistic regression models. J Clin Psychiatry. 2010;71:225-34.
-
(2010)
J Clin Psychiatry
, vol.71
, pp. 225-234
-
-
Lin, C.C.1
Bai, Y.M.2
Chen, J.Y.3
-
18
-
-
0026775675
-
Review of neural network application in medical imaging and signal processing
-
Miller AS, Blott BH, Hames TK. Review of neural network application in medical imaging and signal processing. Med Biol Eng Comput. 1992;30:449-64.
-
(1992)
Med Biol Eng Comput
, vol.30
, pp. 449-464
-
-
Miller, A.S.1
Blott, B.H.2
Hames, T.K.3
-
19
-
-
0020063002
-
A review of goodness of fit statistics for use in the development of logistic regression models
-
Lemeshow S, Hosmer DW. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115:92-106. (Pubitemid 12205725)
-
(1982)
American Journal of Epidemiology
, vol.115
, Issue.1
, pp. 92-106
-
-
Lemeshow, S.1
Hosmer Jr., D.W.2
-
20
-
-
0031006441
-
A comparison of goodness-of-fit tests for the logistic regression model
-
DOI 10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2- O
-
Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. Stat Med. 1997;16:965-80. (Pubitemid 27198985)
-
(1997)
Statistics in Medicine
, vol.16
, Issue.9
, pp. 965-980
-
-
Hosmer, D.W.1
Hosmer, T.2
Le Cessie, S.3
Lemeshow, S.4
-
21
-
-
33745106918
-
Neural network modeling to stratify peritoneal membrane transporter in predialytic patients
-
Chen CA., Lin SH, Hsu Y J, Li YC, Wang YF, Chiu JS. Neural network modeling to stratify peritoneal membrane transporter in predialytic patients. Intern Med. 2006;45:663-4.
-
(2006)
Intern Med
, vol.45
, pp. 663-664
-
-
Chen, C.A.1
Lin, S.H.2
Hsu Y, J.3
Li, Y.C.4
Wang, Y.F.5
Chiu, J.S.6
-
22
-
-
0043126911
-
Logistic regression and artificial neural network classification models: A methodology review
-
DOI 10.1016/S1532-0464(03)00034-0
-
Dreiseitl S, Ohno-Machado L. Logistic regression and artificial neural network classification models: A methodology review. J Biomed Inform. 2002;35:352-9. (Pubitemid 36951935)
-
(2002)
Journal of Biomedical Informatics
, vol.35
, Issue.5-6
, pp. 352-359
-
-
Dreiseitl, S.1
Ohno-Machado, L.2
-
23
-
-
0020524559
-
A method of comparing the areas under receiver operating characteristic curves derived from the same cases
-
Hanley JA, McNeil BJ. A method of comparing the area under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148:839-43. (Pubitemid 13033817)
-
(1983)
Radiology
, vol.148
, Issue.3
, pp. 839-843
-
-
Hanley, J.A.1
McNeil, B.J.2
-
24
-
-
0021203016
-
Statistical approaches to the analysis of receiver operating characteristic (ROC) curves
-
McNeil BJ, Hanley JA. Statistical approaches to the analysis of receiver operating characteristic (ROC) curves. Med Decis Making. 1984;4:137-50. (Pubitemid 14001462)
-
(1984)
Medical Decision Making
, vol.4
, Issue.2
, pp. 137-150
-
-
McNeil, B.J.1
Hanley, J.A.2
-
25
-
-
0023710206
-
Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
-
DeLong E, DeLong D, Clarke-Pearson D. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-45.
-
(1988)
Biometrics
, vol.44
, pp. 837-845
-
-
DeLong, E.1
DeLong, D.2
Clarke-Pearson, D.3
-
26
-
-
33646252050
-
Pre-operative measurement of heart rate variability predicts hypotension during general anesthesia
-
Huang CJ, Kuok CH, Kuo TB, Hsu YW, Tsai PS. Pre-operative measurement of heart rate variability predicts hypotension during general anesthesia. Acta Anaesthesiol Scand. 2006;50:542-8.
-
(2006)
Acta Anaesthesiol Scand
, vol.50
, pp. 542-548
-
-
Huang, C.J.1
Kuok, C.H.2
Kuo, T.B.3
Hsu, Y.W.4
Tsai, P.S.5
-
27
-
-
38349075751
-
Does heart rate variability predict hypotension and bradycardia after induction of general anaesthesia in high risk cardiovascular patients?
-
Hanss R, Renner J, Ilies C, et al. Does heart rate variability predict hypotension and bradycardia after induction of general anaesthesia in high risk cardiovascular patients? Anaesthesia. 2008;63:129-35.
-
(2008)
Anaesthesia
, vol.63
, pp. 129-135
-
-
Hanss, R.1
Renner, J.2
Ilies, C.3
-
28
-
-
0025934806
-
Use of an artificial neural network for the diagnosis of myocardial infarction
-
Baxt WG. Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med. 1991;115:843-8.
-
(1991)
Ann Intern Med
, vol.115
, pp. 843-848
-
-
Baxt, W.G.1
-
29
-
-
0028242397
-
A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching
-
DOI 10.1177/0272989X9401400303
-
Baxt WG. A neural network trained to identify the presence of myocardial infarction bases some decisions on clinical associations that differ from accepted clinical teaching. Med Decis Making. 1994;14:217-22. (Pubitemid 24206346)
-
(1994)
Medical Decision Making
, vol.14
, Issue.3
, pp. 217-222
-
-
Baxt, W.G.1
|