Reference
1. Sward KA, Newth CJL, Khemani RG, Page K, Meert KL, Carcillo JA, et
al. Potential Acceptability of a Pediatric Ventilator Management
Computer Protocol. Pediatr Crit Care Med J Soc Crit Care Med World Fed
Pediatr Intensive Crit Care Soc. 2017;18(11):1027‑34.
2. Flechelles O, Ho A, Hernert P, Emeriaud G, Zaglam N, Cheriet F,
Jouvet P. Simulations for Mechanical Ventilation in Children: Review and
Future Prospects. Crit Care Res Pract. 2013;2013:1‑8.
3. Morozoff E, Smyth JA, Saif M. Applying Computer Models to Realize
Closed-Loop Neonatal Oxygen Therapy. Anesth Analg. 2017;124(1):95‑103.
4. Flechelles O, Hernert P, Cheriet F, Zaglam N, Emeriaud G, Jouvet P.
999 Validation of Pediatric Cardiorespiratory Simulator: Simulresp. Arch
Dis Child. 2012;97(Suppl 2):A286‑7.
5. Das A, Gao Z, Menon PP, Hardman JG, Bates DG. A systems engineering
approach to validation of a pulmonary physiology simulator for clinical
applications. J R Soc Interface. 2010;8(54):44‑55.
6. Summers RL. Computer Simulation Studies and the Scientific Method. J
Appl Anim Welf Sci. 1998;1(2):119‑31.
7. Summers RL, Ward KR, Witten T, Convertino VA, Ryan KL, Coleman TG,
Hester R. Validation of a computational platform for the analysis of the
physiologic mechanisms of a human experimental model of hemorrhage.
Resuscitation. 2009;80(12):1405‑10.
8. Dickinson CJ. A computer model of human respiration : ventilation,
blood gas transport and exchange, hydrogen ion regulation. Lancaster:
M.T.P. press; 1977.
9. Chatburn RL, Mireles-Cabodevila E. Handbook of respiratory care.
Sudbury, MA: Jones & Bartlett Learning; 2011.
10. Aguilaniu B, Flore P, Maitre J, Ochier J, Lacour JR, Perrault H.
Early onset of pulmonary gas exchange disturbance during progressive
exercise in healthy active men. J Appl Physiol. 2002;92(5):1879‑84.
11. Cherry AD, Forkner IF, Frederick HJ, Natoli MJ, Schinazi EA,
Longphre JP, et al. Predictors of increased Pa CO 2 during immersed
prone exercise at 4.7 ATA. J Appl Physiol. 2009;106(1):316‑25.
12. Baudin F, Bourgoin P, Brossier D, Essouri S, Emeriaud G, Wysocki M,
Jouvet P. Noninvasive Estimation of Arterial CO2 From End-Tidal CO2 in
Mechanically Ventilated Children: The GRAeDIENT Pilot Study. Pediatr
Crit Care Med. 2016;17(12):1117‑23.
13. Sargent RG. Verification and validation of simulation models. In:
Proceedings of the 2010 Winter Simulation Conference. Baltimore, MD,
USA: IEEE; 2010:166‑83.
14. Gamer M, Lemon J, Singh IFP. irr: Various Coefficients of Interrater
Reliability and Agreement [Internet]. 2019 [28 apr 2019].
Available at: https://CRAN.Rproject. org/package=irr
15. Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass
Correlation Coefficients for Reliability Research. J Chiropr Med.
2016;15(2):155‑63.
16. Bland JM, Altman DG. Statistical methods for assessing agreement
between two methods of clinical measurement. Lancet.
1986;1(8476):307‑10.
17. Michael Sauthier and David Brossier. BlandAltman: Bland-Altman
Analysis and Plot [Internet]. 2018. Available at:
http://github.com/sauthiem/BlandAltman
18. Balinotti JE, Tiller CJ, Llapur CJ, Jones MH, Kimmel RN, Coates CE,
et al. Growth of the lung parenchyma early in life. Am J Respir Crit
Care Med. 2009;179(2):134‑7.
19. Openshaw P, Edwards S, Helms P. Changes in rib cage geometry during
childhood. Thorax. 1984;39(8):624‑7.
20. Gaultier C. Respiratory muscle function in infants. Eur Respir J.
1995;8(1):150‑3.
21. Keegan R, Henderson T, Brown G. Use of the virtual ventilator, a
screen-based computer simulation, to teach the principles of mechanical
ventilation. J Vet Med Educ. 2009;36(4):436‑43.
22. Rutledge GW. VentSim: a simulation model of cardiopulmonary
physiology. In: Proceedings of the Annual Symposium on Computer
Application in Medical Care. American Medical Informatics Association;
1994: 878.
23. Lino JA, Gomes GC, Sousa ND, Carvalho AK, Diniz ME, Viana Junior AB,
Holanda MA. A Critical Review of Mechanical Ventilation Virtual
Simulators: Is It Time to Use Them? JMIR Med Educ. 2016;2(1):e8.
24. Reynolds A, Bard Ermentrout G, Clermont G. A mathematical model of
pulmonary gas exchange under inflammatory stress. J Theor Biol.
2010;264(2):161‑73.
25. Karbing DS, Allerød C, Thorgaard P, Carius A-M, Frilev L, Andreassen
S, et al. Prospective evaluation of a decision support system for
setting inspired oxygen in intensive care patients. J Crit Care.
2010;25(3):367‑74.
26. McCahon RA, Columb MO, Mahajan RP, Hardman JG. Validation and
application of a high-fidelity, computational model of acute respiratory
distress syndrome to the examination of the indices of oxygenation at
constant lung-state. Br J Anaesth. 2008;101(3):358‑65.
27. Pace DK. Modeling and Simulation Verification and Validation
Challenges. Johns Hopkins apl Tech Dig. 2004;25(2):10.
28. O’Connor DP, Mahar MT, Laughlin MS, Jackson AS. The Bland-Altman
Method Should Not Be Used in Regression Cross-Validation Studies. Res Q
Exerc Sport. 2011;82(4):610‑6.
29. Wang A, Mahfouf M, Mills GH, Panoutsos G, Linkens DA, Goode K, et
al. Intelligent model-based advisory system for the management of
ventilated intensive care patients: Hybrid blood gas patient model.
Comput Methods Programs Biomed. 2010;99(2):195‑207.
30. Brossier D, Sauthier M, Alacoque X, Masse B, Eltaani R, Guillois B,
Jouvet P. Perpetual and Virtual Patients for Cardiorespiratory
Physiological Studies. J Pediatr Intensive Care. 2016;5(03):122‑8.
31. Brossier D, El Taani R, Sauthier M, Roumeliotis N, Emeriaud G,
Jouvet P. Creating a High-Frequency Electronic Database in the PICU: The
Perpetual Patient. Pediatr Crit Care Med. 2018;19(4):e189‑98.
32. Gutierrez G. Artificial Intelligence in the Intensive Care Unit.
Crit Care.2020;24(1):101.
33. Meskó B, Görög M. A short guide for medical professionals in the era
of artificial intelligence. Npj Digit Med.2020;3(1):126.