1. Applying an artificial neural network to warfarin maintenance dose prediction.
- Author
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Solomon I, Maharshak N, Chechik G, Leibovici L, Lubetsky A, Halkin H, Ezra D, and Ash N
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Dose-Response Relationship, Drug, Female, Humans, Linear Models, Male, Middle Aged, Anticoagulants administration & dosage, Drug Therapy, Computer-Assisted methods, Neural Networks, Computer, Warfarin administration & dosage
- Abstract
Background: Oral anticoagulation with warfarin can lead to life-threatening events as a result of either over-anticoagulation or undertreatment. One of the main contributors to an undesirable warfarin effect is the need to adjust its daily dose for a specific patient. The dose is adjusted empirically based on the experience of the clinician, a method that is often imprecise. There is currently no other well-accepted method for predicting the maintenance dose of warfarin., Objective: To describe the application of an artificial neural network to the problem of warfarin maintenance dose prediction., Methods: We designed a neural network that predicts the maintenance dose of warfarin. Data on 148 patients attending a large anticoagulant clinic were collected by file review. Using correlational analysis of the patients' data we selected the best input variables. The network was trained by using the back-propagation algorithm on a subset of our data and the results were validated against the rest of the data. We used a multivariate linear regression to create a comparable model., Results: The neural network generated reasonable predictions of the maintenance dose (r = 0.823). The results of the linear regression model were similar (r = 0.800)., Conclusion: Neural networks can be applied successfully for warfarin maintenance dose prediction. The results are promising, but further investigation is needed.
- Published
- 2004