Proceedings of the 2010 ACM Symposium on Applied Computing 2010
DOI: 10.1145/1774088.1774584
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Identification and control of intrinsic bias in a multiscale computational model of drug addiction

Abstract: Personalized medicine is rapidly evolving with the objective of providing a patient with medications based on the "use of genetic susceptibility or pharmacogenetic testing to tailor an individual's preventive care or drug therapy" [1]. It is reasonable to foresee that this domain will incorporate sources of biological knowledge other than genetics including computational modeling of diseases. For this purpose, a critical issue is how to identify and control systematic biases that may arise. In this paper, a mu… Show more

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“…For instance, the processes comprising the neuropsychological scale of the model have limited domains of definition which facilitate their tractability. These restricted domains reflect biological plausibility and ease the sensitivity analysis ( 56 ), a necessary step toward the qualitative validation of the model.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, the processes comprising the neuropsychological scale of the model have limited domains of definition which facilitate their tractability. These restricted domains reflect biological plausibility and ease the sensitivity analysis ( 56 ), a necessary step toward the qualitative validation of the model.…”
Section: Discussionmentioning
confidence: 99%