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Artificial Intelligence in Medicine
|
December 12, 2018
Optimal testing policies for diagnosing patients with intermediary probability of disease
Edilson F Arruda, Basílio B Pereira, Clarissa A Thiers, et al.
Plos One
|
September 16, 2021
Modelling and optimal control of multi strain epidemics, with application to COVID-19
Edilson F Arruda, Shyam S Das, Claudia M Dias, et al.
Artificial Intelligence in Medicine
|
June 6, 2020
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate
Henrique L F Soares, Edilson F Arruda, Laura Bahiense, et al.
Journal of Simulation : JOS
|
February 10, 2023
Modelling lung cancer diagnostic pathways using discrete event simulation
Tracey England, Paul Harper, Tom Crosby, et al.
IMA Journal of Management Mathematics
|
March 22, 2021
Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable inventory approach
Edilson F Arruda, Paul Harper, Tracey England, et al.
ISA Transactions
|
July 9, 2023
A novel queue-based stochastic epidemic model with adaptive stabilising control
Edilson F Arruda, Rodrigo E A Alexandre, Marcelo D Fragoso, et al.
Translational Lung Cancer Research
|
April 23, 2021
Examining the diagnostic pathway for lung cancer patients in Wales using discrete event simulation
Tracey J England, Paul R Harper, Tom Crosby, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Artificial Intelligence in Medicine
|
December 12, 2018
Optimal testing policies for diagnosing patients with intermediary probability of disease
Edilson F Arruda, Basílio B Pereira, Clarissa A Thiers, et al.
Plos One
|
September 16, 2021
Modelling and optimal control of multi strain epidemics, with application to COVID-19
Edilson F Arruda, Shyam S Das, Claudia M Dias, et al.
Artificial Intelligence in Medicine
|
June 6, 2020
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate
Henrique L F Soares, Edilson F Arruda, Laura Bahiense, et al.
Journal of Simulation : JOS
|
February 10, 2023
Modelling lung cancer diagnostic pathways using discrete event simulation
Tracey England, Paul Harper, Tom Crosby, et al.
IMA Journal of Management Mathematics
|
March 22, 2021
Resource optimization for cancer pathways with aggregate diagnostic demand: a perishable inventory approach
Edilson F Arruda, Paul Harper, Tracey England, et al.
ISA Transactions
|
July 9, 2023
A novel queue-based stochastic epidemic model with adaptive stabilising control
Edilson F Arruda, Rodrigo E A Alexandre, Marcelo D Fragoso, et al.
Translational Lung Cancer Research
|
April 23, 2021
Examining the diagnostic pathway for lung cancer patients in Wales using discrete event simulation
Tracey J England, Paul R Harper, Tom Crosby, et al.
Page
of 1