TY - GEN
T1 - Uncertainty propagation in biomedical models
AU - Franco, Andrea
AU - Correia, Marco
AU - Cruz, Jorge
N1 - sem pdf conforme despacho.
PY - 2015
Y1 - 2015
N2 - Mathematical models are prevalent in modern medicine. However, reasoning with realistic biomedical models is computationally demanding as parameters are typically subject to nonlinear relations, dynamic behavior, and uncertainty. This paper addresses this problem by proposing a new framework based on constraint programming for a sound propagation of uncertainty from model parameters to results. We apply our approach to an important problem in the obesity research field, the estimation of free-living energy intake in humans. Complementary to alternative solutions, our approach is able to correctly characterize the provided estimates given the uncertainty inherent to the model parameters.
AB - Mathematical models are prevalent in modern medicine. However, reasoning with realistic biomedical models is computationally demanding as parameters are typically subject to nonlinear relations, dynamic behavior, and uncertainty. This paper addresses this problem by proposing a new framework based on constraint programming for a sound propagation of uncertainty from model parameters to results. We apply our approach to an important problem in the obesity research field, the estimation of free-living energy intake in humans. Complementary to alternative solutions, our approach is able to correctly characterize the provided estimates given the uncertainty inherent to the model parameters.
KW - ENERGY-INTAKE
KW - Artificial Intelligence
KW - Medical Informatics
KW - Robotics
UR - http://www.scopus.com/inward/record.url?scp=84947937714&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19551-3_21
DO - 10.1007/978-3-319-19551-3_21
M3 - Conference contribution
AN - SCOPUS:84947937714
VL - 9105
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 166
EP - 171
BT - Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Proceedings
PB - Springer Verlag
T2 - 15th Conference on Artificial Intelligence in Medicine, AIME 2015
Y2 - 17 June 2015 through 20 June 2015
ER -