Machine Learning Approaches-Driven for Mortality Prediction for Patients Undergoing Craniotomy in ICU

References

• Beauregard CL, Friedman WA. Routine use of postoperative ICU care for elective craniotomy: a cost-benefit analysis. Surg Neurol. 2003;60: 483–89. doi:https://doi.org/10.1016/S0090-3019(03)00517-2. Cited in: PMID: 14670660.
   PubMedGoogle Scholar
• Sahuquillo J, Arikan F. Decompressive craniectomy for the treatment of refractory high intracranial pressure in traumatic brain injury. Cochrane Database Syst Rev. 2006;1: CD003983. doi:https://doi.org/10.1002/14651858. Cited in: PMID: 31887790.
   PubMedGoogle Scholar
• Aarabi B, Hesdorffer DC, Ahn ES, Aresco C, Scalea TM, Eisenberg HM. Outcome following decompressive craniectomy for malignant swelling due to severe head injury. J Neurosurg. 2006;104: 469–79. doi:https://doi.org/10.3171/jns.2006.104.4.469. Cited in: PMID: 16619648.
   PubMed Web of Science ®Google Scholar
• Stiver SI. Complications of decompressive craniectomy for traumatic brain injury. Neurosurg Focus. 2009;26: E7. doi:https://doi.org/10.3171/2009.4.FOCUS0965. Cited in: PMID: 19485720.
   PubMed Web of Science ®Google Scholar
• Shibahashi K, Sugiyama K, Tomio J, Hoda H, Morita A. In-hospital mortality and length of hospital stay with craniotomy versus craniectomy for acute subdural hemorrhage: a multicenter, propensity score–matched analysis. J Neurosurg. 2019;1: 1–10. doi:https://doi.org/10.3171/2019.4.JNS182660. Cited in: PMID: 31226690.
   Google Scholar
• Wilberger JE, Harris M, Diamond DL. Acute subdural hematoma: morbidity, mortality, and operative timing. J Neurosurg. 1991;74: 212–18. doi:https://doi.org/10.3171/jns.1991.74.2.0212. Cited in: PMID: 1988590.
   PubMed Web of Science ®Google Scholar
• Gijtenbeek JMM, Hop WCJ, Braakman R, Avezaat CJ. Surgery for intracranial meningiomas in elderly patients. Clin Neurol Neurosurg. 1993;95: 291–95. doi:https://doi.org/10.1016/0303-8467(93)90104-o. Cited in: PMID: 8299286.
   PubMed Web of Science ®Google Scholar
• Ntali G, Capatina C, Fazal-Sanderson V, Byrne JV, Cudlip S, Grossman AB, Wass JAH, Karavitaki N. Mortality in patients with non-functioning pituitary adenoma is increased: systematic analysis of 546 cases with long follow-up. Eur J Endocrinol. 2016;174: 137–45. doi:https://doi.org/10.1530/EJE-15-0967. Cited in: PMID: 26546611.
   PubMed Web of Science ®Google Scholar
• Daly AF, Rixhon M, Adam C, Dempergioti A, Tichomirowa MA, Beckers A. High prevalence of pituitary adenomas: a cross-sectional study in the province of Liege, Belgium. J Clin Endocrinol Metab. 2006;91: 4769–75. doi:https://doi.org/10.1210/jc.2006-1668. Cited in: PMID: 16968795.
   PubMed Web of Science ®Google Scholar
• Chang EF, Zada G, Kim S, Lamborn KR, Quinones-Hinojosa A, Tyrrell JB, Wilson CB, Kunwar S. Long-term recurrence and mortality after surgery and adjuvant radiotherapy for nonfunctional pituitary adenomas. J Neurosurg. 2008;108: 736–45. doi:https://doi.org/10.3171/JNS/2008/108/4/0736. Cited in: PMID: 18377253.
   PubMed Web of Science ®Google Scholar
• Solomon RA, Mayer SA, Tarmey JJ. Relationship between the volume of craniotomies for cerebral aneurysm performed at New York state hospitals and in-hospital mortality. Stroke. 1996;27: 13–17. doi:https://doi.org/10.1161/01.STR.27.1.13. Cited in: PMID: 8553389.
   PubMed Web of Science ®Google Scholar
• Lonjaret L, Guyonnet M, Berard E, Vironneau M, Peres F, Sacrisa S, Ferrier A, Ramonda V, Vuillaume C, Roux F, et al. Postoperative complications after craniotomy for brain tumor surgery. Anaesth Crit Care Pain Med. 2017;36: 213–18. doi:https://doi.org/10.1016/j.accpm.2016.06.012. Cited in: PMID: 27717899.
   PubMed Web of Science ®Google Scholar
• Manninen PH, Tan TK. Postoperative nausea and vomiting after craniotomy for tumor surgery: a comparison between awake craniotomy and general anesthesia. J Clin Anesth. 2002;14: 279–83. doi:https://doi.org/10.1016/S0952-8180(02)00354-9. Cited in: PMID: 12088812.
   PubMed Web of Science ®Google Scholar
• Rose S. Mortality risk score prediction in an elderly population using machine learning. Am J Epidemiol. 2013;177: 443–52. doi:https://doi.org/10.1093/aje/kws241. Cited in: PMID: 23364879.
   PubMed Web of Science ®Google Scholar
• Ashish S, Ritesh J. Scikit-learn: machine learning in Python. J Mach Learn Res. 2012;12: 2825–30. https://doi.org/10.1524/auto.2011.0951.
   Web of Science ®Google Scholar
• Seicean A, Seicean S, Schiltz NK, Alan N, Jones PK, Neuhauser D, Weil RJ. Short‐term outcomes of craniotomy for malignant brain tumors in the elderly. Cancer. 2013;119: 1058–64. doi:https://doi.org/10.1002/cncr.27851. Cited in: PMID: 23065678.
   PubMed Web of Science ®Google Scholar
• Gu W, Vieira AR, Hoekstra RM, Griffin PM, Cole D. Use of random forest to estimate population attributable fractions from a case-control study of salmonella enterica serotype epidemiol infect. Epidemiol Infect. 2015;143: 2786–94. doi:https://doi.org/10.1017/S095026881500014X. Cited in: PMID: 25672399.
   PubMed Web of Science ®Google Scholar
• Matsuo K, Aihara H, Nakai T, Morishita A, Tohma Y, Kohmura E. Machine learning to predict in-hospital morbidity and mortality after traumatic brain injury. J Neurotrauma. 2020;37: 202–10. doi:https://doi.org/10.1089/neu.2018.6276. Cited in: PMID: 31359814.
   PubMedGoogle Scholar
• Izenberg SD, Williams MD, Luterman A. Prediction of trauma mortality using a neural network. Am Surg. 1997;63: 275–81. doi:https://doi.org/10.1097/00000478-199703000-00014. Cited in: PMID: 9036899.
   PubMed Web of Science ®Google Scholar
• Chen T, Guestrin C. Xgboost: a scalable tree boosting system. Paper presented at: the 22nd ACM SIGKDD International Conference. 2016 Aug 13-17; San Francisco, USA.
   Google Scholar
• Shmueli G. To explain or to predict? Statist Sci. 2010;25: 289–310. doi:https://doi.org/10.1214/10-STS330.
   Web of Science ®Google Scholar
• Katuwal GJ, Chen R. Machine learning model interpretability for precision medicine. arXiv. 2016; 1610.09045. https://arxiv.org/abs/1610.09045.
   Google Scholar
• Ribeiro MT, Singh S, Guestrin C. Why should I trust you?: explaining the predictions of any classifier. Paper presented at: the 22nd ACM SIGKDD International Conference; 2016 Aug 13-17; San Francisco, USA.
   Google Scholar
• DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44: 837–45. doi:https://doi.org/10.2307/2531595. Cited in: PMID: 3203132.
   PubMed Web of Science ®Google Scholar
• Brier GW. Verification of forecasts expressed in terms of probability. Mon Weather Rev. 1950;78: 1–3. doi:https://doi.org/10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2.
   Google Scholar
• Rufibach K. Use of Brier score to assess binary predictions. J Clin Epidemiol. 2010;63: 938–39. doi:https://doi.org/10.1016/j.jclinepi.2009.11.009. Cited in: PMID: 20189763.
   PubMed Web of Science ®Google Scholar
• Chelluri L, Im KA, Belle SH, Schulz R, Rotondi AJ, Donahoe MP, Sirio CA, Mendelsohn AB, Pinsky MR. Long-term mortality and quality of life after prolonged mechanical ventilation. Crit Care Med. 2004;32: 61–69. doi:https://doi.org/10.1097/01.CCM.0000098029.65347.F9. Cited in: PMID: 14707560.
   PubMed Web of Science ®Google Scholar
• Missios S, Kalakoti P, Nanda A, Bekelis K. Craniotomy for glioma resection: a predictive model. World Neurosurg. 2015;83: 957–64. doi:https://doi.org/10.1016/j.wneu.2015.04.052. Cited in: PMID: 25943986.
   PubMed Web of Science ®Google Scholar
• Goel NJ, Mallela AN, Agarwal P, Abdullah KG, Choudhri OA, Kung DK, Lucas TH, Chen HI. Complications predicting perioperative mortality in patients undergoing elective craniotomy: a population-based study. World Neurosurg. 2018;118: e195–e205. doi:https://doi.org/10.1016/j.wneu.2018.06.153. Cited in: PMID: 29966789.
   PubMed Web of Science ®Google Scholar
• Jaimes F, Farbiarz J, Alvarez D, Martínez C. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room. Crit Care. 2005;9: R150–6. doi:https://doi.org/10.1186/cc3054. Cited in: PMID: 15774048.
   PubMed Web of Science ®Google Scholar
• Rughani AI, Dumont TM, Lu Z, Bongard J, Horgan MA, Penar PL, Tranmer BI. Use of an artificial neural network to predict head injury outcome. J Neurosurg. 2010;113: 585–90. doi:https://doi.org/10.3171/2009.11.JNS09857. Cited in: PMID: 20020844.
   PubMed Web of Science ®Google Scholar
• Eftekhar B, Mohammad K, Ardebili HE, Ghodsi M, Ketabchi E. Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data. BMC Med Inform Decis Mak. 2005;5: 3. doi:https://doi.org/10.1186/1472-6947-5-3. Cited in: PMID: 15713231.
   PubMedGoogle Scholar
• Rau CS, Kuo PJ, Chien PC, Huang CY, Hsieh HY, Hsieh CH. Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models. PLoS One. 2018. 13: e0207192. doi:https://doi.org/10.1371/journal.pone.0207192. Cited in: PMID: 30412613
   PubMedGoogle Scholar
• DiRusso SM, Sullivan T, Holly C, Cuff SN, Savino J. An artificial neural network as a model for prediction of survival in trauma patients: validation for a regional trauma area. J Trauma. 2000;49: 212–20. doi:https://doi.org/10.1097/00005373-200008000-00006. Cited in: PMID: 10963531.
   PubMedGoogle Scholar
• Lassen B, Helseth E, Rønning P, Scheie D, Johannesen TB, Mæhlen J, Langmoen IA, Meling TR. Surgical mortality at 30 days and complications leading to recraniotomy in 2630 consecutive craniotomies for intracranial tumors. Neurosurgery. 2011;68: 1259–69. doi:https://doi.org/10.1227/NEU.0b013e31820c0441. Cited in: PMID: 21273920.
   PubMed Web of Science ®Google Scholar
• Turgut M, OZcan OE, Benli K, Ozgen T, Gürcay O, Bertan V, Erbengi A, Sağlam S. Factors affecting morbidity and mortality following surgical intervention in patients with intracranial meningioma. Aust N Z J Surg. 1996;66: 144–50. doi:https://doi.org/10.1111/j.1445-2197.1996.tb01143.x. Cited in: PMID: 8639130.
   PubMedGoogle Scholar
• Chen C, Zhang B, Yu S, Sun F, Ruan Q, Zhang W, Shao L, Chen S. The incidence and risk factors of meningitis after major craniotomy in China: a retrospective cohort study. PLoS One. 2014;9: e101961. doi:https://doi.org/10.1371/journal.pone.0101961. Cited in: PMID: 25003204.
   PubMed Web of Science ®Google Scholar
• Reichert MCF, Medeiros EAS, Ferraz FAP. Hospital-acquired meningitis in patients undergoing craniotomy: incidence, evolution, and risk factors. Am J Infect Control. 2002;30: 158–64. doi:https://doi.org/10.1067/mic.2002.119925. Cited in: PMID: 11988710.
   PubMed Web of Science ®Google Scholar
• Rapenne T, Moreau D, Lenfant F, Vernet M, Boggio V, Cottin Y, Freysz M. Could heart rate variability predict outcome in patients with severe head injury? A pilot study. J Neurosurg Anesthesiol. 2001;13: 260–68. doi:https://doi.org/10.1097/00008506-200107000-00016. Cited in: PMID: 11426105.
   PubMed Web of Science ®Google Scholar
• Liu H, He J, Zhong J, Zhang H, Zhang Z, Liu L, Huang Z, Wu Y, Jiang L, Guo Z, et al. Clinical and basic evaluation of the prognostic value of uric acid in traumatic brain injury. Int J Med Sci. 2018;15: 1072. doi:https://doi.org/10.7150/ijms.25799. Cited in: PMID: 30013449.
   PubMed Web of Science ®Google Scholar
• Tayag EC, Nair SN, Wahhab S, Katsetos CD, Lighthall JW, Lehmann JC. Cerebral uric acid increases following experimental traumatic brain injury in rat. Brain Res. 1996;733: 287–91. doi:https://doi.org/10.1016/0006-8993(96)00669-5. Cited in: PMID: 8891312.
   PubMed Web of Science ®Google Scholar
• Kaste M, Hernesniemi J, Somer H, Hillbom M, Konttinen A. Creatine kinase isoenzymes in acute brain injury. J Neurosurg. 1981;55: 511–15. doi:https://doi.org/10.3171/jns.1981.55.4.0511. Cited in: PMID: 7276998.
   PubMed Web of Science ®Google Scholar
• Nayak R, Attry S, Ghosh SN. Serum magnesium as a marker of neurological outcome in severe traumatic brain injury patients. Asian J Neurosurg. 2018;13: 685–88. doi:https://doi.org/10.4103/ajns.AJNS_232_16. Cited in: PMID: 30283527.
   PubMedGoogle Scholar
• Commichau C, Scarmeas N, Mayer SA. Risk factors for fever in the neurologic intensive care unit. Neurology. 2003;60: 837–41. doi:https://doi.org/10.1212/01.WNL.0000047344.28843.eb. Cited in: PMID: 12629243.
   PubMed Web of Science ®Google Scholar