Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios

NeuroImage: Clinical

John D. Kelleher¹  Rasmus Magnusson²  Lili Milani³  Mika Gustafsson³  Vince I. Madai⁴  Peter Gennemark⁵  Gunnar Cedersund⁶  Tilda Herrgårdh⁶ 

[1] School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, UK;ADAPT Research Centre, Technological University Dublin, Ireland;Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, Sweden;Charité Lab for Artificial Intelligence in Medicine – CLAIM, Charité University Medicine Berlin, Germany;Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia;Integrative Systems Biology, Department of Biomedical Engineering, Linköping University, 58185 Linköping, Sweden;

关键词: Stroke;    Mechanistic modelling;    Machine learning;    Bioinformatics;    Precision medicine;   

DOI  :  

来源: DOAJ

【 摘 要 】

Stroke is an example of a complex and multi-factorial disease involving multiple organs, timescales, and disease mechanisms. To deal with this complexity, and to realize Precision Medicine of stroke, mathematical models are needed. Such approaches include: 1) machine learning, 2) bioinformatic network models, and 3) mechanistic models. Since these three approaches have complementary strengths and weaknesses, a hybrid modelling approach combining them would be the most beneficial. However, no concrete approach ready to be implemented for a specific disease has been presented to date. In this paper, we both review the strengths and weaknesses of the three approaches, and propose a roadmap for hybrid modelling in the case of stroke care. We focus on two main tasks needed for the clinical setting: a) For stroke risk calculation, we propose a new two-step approach, where non-linear mixed effects models and bioinformatic network models yield biomarkers which are used as input to a machine learning model and b) For simulation of care scenarios, we propose a new four-step approach, which revolves around iterations between simulations of the mechanistic models and imputations of non-modelled or non-measured variables. We illustrate and discuss the different approaches in the context of Precision Medicine for stroke.

【 授权许可】

Unknown