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Yearb Med Inform 2000; 09(01): 343-345
DOI: 10.1055/s-0038-1637956
DOI: 10.1055/s-0038-1637956
Synopsis
Decision Support Systems and Knowledge Processing
Further Information
Address of the author:
Joanny Gouvemet
Service de l’Information Medicale
Hopital Timone Adultes
264 rue Saint Pierre
13385 Marseille Cedex 05, France
Email: jgouvem@ap-hm.fr
Publication History
Publication Date:
07 March 2018 (online)
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References
- 1 Smith BP, Ward RA, Brier ME. Prediction of anticoagulation during hemodialysis by population kinetics and an artificial neural network. Artif Organs 1998; 22: 731-9.
- 2 Haydon GH, Jalan R, Ala-Korpela M, Hiltunen Y, Hanley J, Jarvis LM, Ludlum CA, Hayes PC. Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors. J Viral Hepat 1998; 5: 255-64.
- 3 Do D, Marcus R, Froelicher V, Janosi A, West J, Atwood JE, Myers J, Chilton R, Froning J. Predicting severe angiographic coronary artery disease using computerization of clinical and exercise test data. Chest 1998; 114: 1437-45.
- 4 Marvin N, Bower M, Rowe JE. An evolutionary approach to constructing prognostic models. Artif Intell Med 1999; 15: 155-65.
- 5 Ohno-Machado L, Gennari JH, Murphy SN, Jain NL, Tu SW, Oliver DE, Pattison-Gordon E, Greenes RA, Shortliffe EH, Barnett GO. The guideline interchange format: a model for representing guidelines. J Am Med Inform Assoc 1998; 5: 357-72.
- 6 Tuttle MS, Olson NE, Keck KD, Cole WG, Erlbaum MS, Sherertz DD, Chute CG, Elkin PL, Atkin GE, Kaihoi BH, Safran C, Rind D, Law V. Metaphrase: an aid to the clinical conceptualization and formalization of patient problems in healthcare enterprises. Meth Inf Med 1998; 37: 373-83.
- 7 Sheiner LB, Rosenberg B, Marathe W. Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. J Pharmacokin Biopharm 1977; 5: 445-79.
- 8 Patel VL, Allen VG, Arocha JF, Shortliffe EH. Representing clinical guidelines in GLIF: individual and collaborative expertise. J Am Med Inform Assoc 1998; 5: 467-83.
- 9 Tu IV, Weinstein MC, McNeil BJ, Naylor CD. Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? The Steering Committee of the Cardiac Care Network of Ontario. Med Decis Making 1998; 18: 229-35.
Address of the author:
Joanny Gouvemet
Service de l’Information Medicale
Hopital Timone Adultes
264 rue Saint Pierre
13385 Marseille Cedex 05, France
Email: jgouvem@ap-hm.fr
-
References
- 1 Smith BP, Ward RA, Brier ME. Prediction of anticoagulation during hemodialysis by population kinetics and an artificial neural network. Artif Organs 1998; 22: 731-9.
- 2 Haydon GH, Jalan R, Ala-Korpela M, Hiltunen Y, Hanley J, Jarvis LM, Ludlum CA, Hayes PC. Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors. J Viral Hepat 1998; 5: 255-64.
- 3 Do D, Marcus R, Froelicher V, Janosi A, West J, Atwood JE, Myers J, Chilton R, Froning J. Predicting severe angiographic coronary artery disease using computerization of clinical and exercise test data. Chest 1998; 114: 1437-45.
- 4 Marvin N, Bower M, Rowe JE. An evolutionary approach to constructing prognostic models. Artif Intell Med 1999; 15: 155-65.
- 5 Ohno-Machado L, Gennari JH, Murphy SN, Jain NL, Tu SW, Oliver DE, Pattison-Gordon E, Greenes RA, Shortliffe EH, Barnett GO. The guideline interchange format: a model for representing guidelines. J Am Med Inform Assoc 1998; 5: 357-72.
- 6 Tuttle MS, Olson NE, Keck KD, Cole WG, Erlbaum MS, Sherertz DD, Chute CG, Elkin PL, Atkin GE, Kaihoi BH, Safran C, Rind D, Law V. Metaphrase: an aid to the clinical conceptualization and formalization of patient problems in healthcare enterprises. Meth Inf Med 1998; 37: 373-83.
- 7 Sheiner LB, Rosenberg B, Marathe W. Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. J Pharmacokin Biopharm 1977; 5: 445-79.
- 8 Patel VL, Allen VG, Arocha JF, Shortliffe EH. Representing clinical guidelines in GLIF: individual and collaborative expertise. J Am Med Inform Assoc 1998; 5: 467-83.
- 9 Tu IV, Weinstein MC, McNeil BJ, Naylor CD. Predicting mortality after coronary artery bypass surgery: what do artificial neural networks learn? The Steering Committee of the Cardiac Care Network of Ontario. Med Decis Making 1998; 18: 229-35.