Bos LDJ, Ware LB (2022) Acute respiratory distress syndrome: causes, pathophysiology, and phenotypes. Lancet 400:1145–1156. https://doi.org/10.1016/S0140-6736(22)01485-4
Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, Gattinoni L, Van Haren F, Larsson A, McAuley DF (2016) Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA 315:788–800
Article CAS PubMed Google Scholar
Esteban A, Ferguson ND, Meade MO, Frutos-Vivar F, Apezteguia C, Brochard L, Raymondos K, Nin N, Hurtado J, Tomicic V (2008) Evolution of mechanical ventilation in response to clinical research. Am J Respir Crit Care Med 177:170–177
Horovitz JH, Carrico CJ, Shires GT (1974) Pulmonary response to major injury. Arch Surg Chic Ill 1960(108):349–355. https://doi.org/10.1001/archsurg.1974.01350270079014
Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, Camporota L, Slutsky AS (2012) Acute respiratory distress syndrome: the Berlin definition. JAMA 307:2526–2533. https://doi.org/10.1001/jama.2012.5669
Article CAS PubMed Google Scholar
Zetterström H (1988) Assessment of the efficiency of pulmonary oxygenation. The choice of oxygenation index. Acta Anaesthesiol Scand 32:579–584. https://doi.org/10.1111/j.1399-6576.1988.tb02789.x
Dalen JE (2001) The pulmonary artery catheter—friend, foe, or accomplice? JAMA 286:348–350. https://doi.org/10.1001/jama.286.3.348
Article CAS PubMed Google Scholar
Banavasi H, Nguyen P, Osman H, Soubani AO (2021) Management of ARDS–what works and what does not. Am J Med Sci 362:13–23
Piehl MA, Brown RS (1976) Use of extreme position changes in acute respiratory failure. Crit Care Med 4:13–14
Article CAS PubMed Google Scholar
Pelosi P, Tubiolo D, Mascheroni D, Vicardi P, Crotti S, Valenza F, Gattinoni L (1998) Effects of the prone position on respiratory mechanics and gas exchange during acute lung injury. Am J Respir Crit Care Med 157:387–393. https://doi.org/10.1164/ajrccm.157.2.97-04023
Article CAS PubMed Google Scholar
Gattinoni L, Busana M, Giosa L, Macrì MM, Quintel M (2019) Prone positioning in acute respiratory distress syndrome. Semin Respir Crit Care Med 40:94–100. https://doi.org/10.1055/s-0039-1685180
Guerin C, Baboi L, Richard JC (2014) Mechanisms of the effects of prone positioning in acute respiratory distress syndrome. Intensive Care Med 40:1634–1642. https://doi.org/10.1007/s00134-014-3500-8
Article CAS PubMed Google Scholar
Albert RK, Leasa D, Sanderson M, Robertson HT, Hlastala MP (1987) The prone position improves arterial oxygenation and reduces shunt in oleic-acid-induced acute lung injury. Am Rev Respir Dis 135:628–633. https://doi.org/10.1164/arrd.1987.135.3.628
Article CAS PubMed Google Scholar
Lamm WJ, Graham MM, Albert RK (1994) Mechanism by which the prone position improves oxygenation in acute lung injury. Am J Respir Crit Care Med 150:184–193. https://doi.org/10.1164/ajrccm.150.1.8025748
Article CAS PubMed Google Scholar
Thompson BT, Chambers RC, Liu KD (2017) Acute respiratory distress syndrome. N Engl J Med 377:562–572
Article CAS PubMed Google Scholar
Goligher EC, Tomlinson G, Hajage D, Wijeysundera DN, Fan E, Jüni P, Brodie D, Slutsky AS, Combes A (2018) Extracorporeal membrane oxygenation for severe acute respiratory distress syndrome and posterior probability of mortality benefit in a post hoc Bayesian analysis of a randomized clinical trial. JAMA 320:2251–2259. https://doi.org/10.1001/jama.2018.14276
Lam C, Tso CF, Green-Saxena A, Pellegrini E, Iqbal Z, Evans D, Hoffman J, Calvert J, Mao Q, Das R (2021) Semisupervised deep learning techniques for predicting acute respiratory distress syndrome from time-series clinical data: model development and validation study. JMIR Form Res 5:e28028. https://doi.org/10.2196/28028
Article PubMed PubMed Central Google Scholar
Sayed M, Riaño D, Villar J (2021) Novel criteria to classify ARDS severity using a machine learning approach. Crit Care Lond Engl 25:150. https://doi.org/10.1186/s13054-021-03566-w
Sinha P, Delucchi KL, McAuley DF, O’Kane CM, Matthay MA, Calfee CS (2020) Development and validation of parsimonious algorithms to classify acute respiratory distress syndrome phenotypes: a secondary analysis of randomised controlled trials. Lancet Respir Med 8:247–257. https://doi.org/10.1016/S2213-2600(19)30369-8
Article CAS PubMed PubMed Central Google Scholar
Sinha P, Furfaro D, Cummings MJ, Abrams D, Delucchi K, Maddali MV, He J, Thompson A, Murn M, Fountain J (2021) Latent class analysis reveals COVID-19–related acute respiratory distress syndrome subgroups with differential responses to corticosteroids. Am J Respir Crit Care Med 204:1274–1285
Article CAS PubMed PubMed Central Google Scholar
Collins GS, Reitsma JB, Altman DG, Moons KGM (2015) Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Br J Surg 102:148–158. https://doi.org/10.1002/bjs.9736
Article CAS PubMed Google Scholar
Fan E, Del Sorbo L, Goligher EC, Hodgson CL, Munshi L, Walkey AJ, Adhikari NKJ, Amato MBP, Branson R, Brower RG, Ferguson ND, Gajic O, Gattinoni L, Hess D, Mancebo J, Meade MO, McAuley DF, Pesenti A, Ranieri VM, Rubenfeld GD, Rubin E, Seckel M, Slutsky AS, Talmor D, Thompson BT, Wunsch H, Uleryk E, Brozek J, Brochard LJ (2017) An official American thoracic society/European society of intensive care medicine/society of critical care medicine clinical practice guideline: mechanical ventilation in adult patients with acute respiratory distress syndrome. Am J Respir Crit Care Med 195:1253–1263. https://doi.org/10.1164/rccm.201703-0548ST
Guérin C, Reignier J, Richard J-C, Beuret P, Gacouin A, Boulain T, Mercier E, Badet M, Mercat A, Baudin O, Clavel M, Chatellier D, Jaber S, Rosselli S, Mancebo J, Sirodot M, Hilbert G, Bengler C, Richecoeur J, Gainnier M, Bayle F, Bourdin G, Leray V, Girard R, Baboi L, Ayzac L (2013) Prone positioning in severe acute respiratory distress syndrome. N Engl J Med 368:2159–2168. https://doi.org/10.1056/NEJMoa1214103
Article CAS PubMed Google Scholar
Wickham H (2014) Tidy data. J Stat Softw. https://doi.org/10.18637/jss.v059.i10
Dong Y, Peng C-YJ (2013) Principled missing data methods for researchers. Springerplus 2:222. https://doi.org/10.1186/2193-1801-2-222
Article PubMed PubMed Central Google Scholar
Shewry MC, Wynn HP (1987) Maximum entropy sampling. J Appl Stat 14:165–170. https://doi.org/10.1080/02664768700000020
Pang S, Gong J (2009) C5. 0 classification algorithm and application on individual credit evaluation of banks. Syst Eng-Theory Pract 29:94–104
Salzberg SL (1994) C4.5: programs for machine learning by J. Ross Quinlan. Morgan Kaufmann Publishers Inc, 1993. Mach Learn 16:235–240. https://doi.org/10.1007/BF00993309
Freund Y, Schapire RE (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55:119–139. https://doi.org/10.1006/jcss.1997.1504
Max Kuhn, Davis Vaughan (2023) parsnip: A Common API to Modeling and Analysis Functions
Shapley L (1997) A value for n-person games. Contributions to the theory of games II. In: Kuhn HW (ed) Classics in game theory. Princeton University Press, Princeton, pp 69–79
Combes A, Peek GJ, Hajage D, Hardy P, Abrams D, Schmidt M, Dechartres A, Elbourne D (2020) ECMO for severe ARDS: systematic review and individual patient data meta-analysis. Intensive Care Med 46:2048–2057. https://doi.org/10.1007/s00134-020-06248-3
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