Constraint reasoning in deep biomedical models

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Objective:Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, given their non-linearity and the important effects that the uncertainty on data may cause. The objective of this work is to propose a constraint reasoning framework to support safe decisions based on deep biomedical models.

论文关键词:Constraint reasoning,Differential models,Decision support,Biomedical modelling,Diabetes,Drug design,Epidemiology

论文评审过程:Received 22 March 2004, Revised 16 July 2004, Accepted 22 July 2004, Available online 7 December 2004.

论文官网地址:https://doi.org/10.1016/j.artmed.2004.07.013