Title
Developing computational model-based diagnostics to analyse clinical chemistry data
Author
van Schalkwijk, D.B.
van Bochove, K.
van Ommen, B.
Freidig, A.P.
van Someren, E.P.
van der Greef, J.
de Graaf, A.A.
TNO Kwaliteit van Leven
Publication year
2010
Abstract
This article provides methodological and technical considerations to researchers starting to develop computational model-based diagnostics using clinical chemistry data.These models are of increasing importance, since novel metabolomics and proteomics measuring technologies are able to produce large amounts of data that are difficult to interpret at first sight, but have high diagnostic potential. Computational models aid interpretation and make the data accessible for clinical diagnosis. We discuss the issues that a modeller has to take into account during the design, construction and evaluation phases of model development.We use the example of Particle Profiler development, a model-based diagnostic tool for lipoprotein disorders, as a case study, to illustrate our considerations. The case study also offers techniques for efficient model formulation, model calculation, workflow structuring and quality control. © The Author 2010. Published by Oxford University Press.
Subject
Life
MSB - Microbiology and Systems Biology MHR - Metabolic Health Research
EELS - Earth, Environmental and Life Sciences
Biomedical Innovation
Biology
Healthy Living
Biomedical Research
Clinical chemistry
Clinical diagnostics
Computational modelling
Lipoprotein metabolism
Particle profiler
Probabilistic and deterministic modelling
To reference this document use:
http://resolver.tudelft.nl/uuid:eea35bad-0535-445e-a970-01fe713e3bb7
DOI
https://doi.org/10.1093/bib/bbp071
TNO identifier
408486
ISSN
1467-5463
Source
Briefings in Bioinformatics, 11 (4), 403-416
Article number
No.: bbp071
Document type
article