The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

Pang S, Gong J (2009) C5. 0 classification algorithm and application on individual credit evaluation of banks. Syst Eng-Theory Pract 29:94–104

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

Chapter  Google Scholar 

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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