Applying an artificial neural network to warfarin maintenance dose prediction

Israel Medical Association Journal

Volumn 6, Issue 12, 2004, Pages 732-735

  Solomon, Idit ^a,c   Maharshak, Nitsan ^b,c   Chechik, Gal ^c   Leibovici, Leonard ^a,c   Lubetsky, Aharon ^c,d   Halkin, Hillel ^c,d   Ezra, David ^c,d   Ash, Nachman ^c,d  

^a RABIN MEDICAL CENTER   (Israel)

^b TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

^c TEL AVIV UNIVERSITY   (Israel)

^d SHEBA MEDICAL CENTER   (Israel)

Author keywords

Computer assisted therapy; Dose prediction; Drug therapy; Neural network; Warfarin

Indexed keywords

WARFARIN;

ACCURACY; ADULT; AGED; ALGORITHM; ANTICOAGULANT THERAPY; ARTIFICIAL NEURAL NETWORK; CALCULATION; CONTROLLED STUDY; CORRELATION ANALYSIS; EMPIRICISM; FEMALE; HUMAN; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MAINTENANCE DRUG DOSE; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD; MULTIVARIATE ANALYSIS; PREDICTION; REVIEW; VALIDATION PROCESS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ANTICOAGULANTS; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG THERAPY, COMPUTER-ASSISTED; FEMALE; HUMANS; LINEAR MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); WARFARIN;

EID: 10644234717     PISSN: 15651088     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (25)

1. Hirsh J, Dalen JE, Deykin D, Poller L, Bussey H. Oral anticoagulants. Mechanism of action, clinical effectiveness, and optimal therapeutic range. Chest 1995;108:S213-46.
2. Oates A, Jackson PR, Austin CA, Cahnner KS. A new regimen for starting warfarin therapy in out-patients. Br J Clin Pharmacol 1998;46:157-61.
3. Absher RK, Moore ME, Parker MH. Patient specific factors predictive of warfarin dosage requirements. Ann Pharmacother 2002;36:1512-17.
4. Higashi MK, Veenstra DL, Kondo LM, et al. Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy. JAMA 2002;287:1690-8.
5. Routledge PA, Chapman PH, Davies DM, Rawlins MD. Pharmacokinetics and pharmacodynamics of warfarin at steady state. Br J Clin Pharmacol 1979;8:243-7.
6. White RH. The epidemiology of venous thromboembolism. Circulation 2003;107(23 Suppl 1):14-18.
7. Beyth RJ. Management of hemorrhagic complications associated with oral anticoagulant treatment. Expert Opin Drug Saf 2002;1:129-36.
8. Goldberg Y, Berliner S, Seligsohn U. Clinical and economic advantages of anticoagulant treatment in specialized clinics. Harefuah 2002;141:830-2 (Hebrew).
9. Duxbury BM. Therapeutic control of anticoagulant treatment. Br Med J (Clin Res Ed) 1982;284:702-4.
10. Copplestone A, Roath S. Assessment of therapeutic control of anticoagulation. Acta Haematol 1984;71:376-80.
11. Harries AD, Birtwell AJ, Jones DB. Anticoagulant control [Letter]. Lancet 1981;i:1320.
12. Doble N, Baron JH. Anticoagulation control with warfarin by junior hospital doctors. J R Soc Med 1987;80:627.
13. Lee C, Coleman RW, Mungall DR. Effect of using warfarin plasma concentrations in Bayesian forecasting of prothrombin-time response. Clin Pharm 1987;6:406-12.
14. Ryan PJ, Gilbert M, Rose PE. Computer control of anticoagulant dose for therapeutic management. Br Med J 1989;299:1207-9.
15. Poller L, Wright D, Rowlands M. Prospective comparative study of computer programs used for management of warfarin. J Clin Pathol 1993;46:299-303.
16. White RH, Mungall D. Outpatient management of warfarin therapy: comparison of computer-predicted dosage adjustment to skilled professional care. Ther Drug Monit 1991;13:46-50.
17. Mungall DR, Ludden TM, Marshall J, Hawkins DW, Talbert RL, Crawford MH. Population pharmacokinetics of racemic warfarin in adult patients. J Pharmacokinet Biopharm 1985;13:213-27.
18. Demuth H, Beale M. Neural Network Toolbox for Use with MATLAB-Userguide. Natick, MA: Mathworks Inc., 1993.
19. SAS Users Guide: Statistics. Cary, NC: SAS Institute Inc., 1982:119-37, 217-21.
20. Tu J. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996;49:1225-31.
21. Camps-Valls G, Porta-Oltra B, Soria-Olivas E, et al. Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. IEEE Trans Biomed Eng 2003;50:442-8.
22. Chen HY, Chen TC, Min DI, Fischer GW, Wu YM. Prediction of tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients. Ther Drug Monit 1999;21:50-6.
23. Corrigan BW, Mayo PR, Jamali F. Application of a neural network for gentamicin concentration prediction in a general hospital population. Ther Drug Monit 1997;19:25-8.
24. Narayanan M, Lucas S. A genetic algorithm to improve a neural network to predict a patient's response to warfarin. Methods Inf Med 1993;32:55-8.
25. Wells PS, Holbrook AM, Crowther NR, Hirsh J. Interactions of warfarin with drugs and food. Ann Intern Med 1994;121:676-83.