TY - JOUR AU - Reuter, D. A. AU - Chappell, D. AU - Perel, A. PY - 2018 DA - 2018// TI - The dark sides of fluid administration in the critically ill patient JO - Intensive Care Med VL - 44 UR - https://doi.org/10.1007/s00134-017-4989-4 DO - 10.1007/s00134-017-4989-4 ID - Reuter2018 ER - TY - JOUR AU - Sen, A. AU - Keener, C. M. AU - Sileanu, F. E. AU - Foldes, E. AU - Clermont, G. AU - Murugan, R. AU - Kellum, J. A. PY - 2017 DA - 2017// TI - Chloride content of fluids used for large-volume resuscitation is associated with reduced survival JO - Crit Care Med VL - 45 UR - https://doi.org/10.1097/CCM.0000000000002063 DO - 10.1097/CCM.0000000000002063 ID - Sen2017 ER - TY - JOUR AU - Raghunathan, K. AU - Shaw, A. AU - Nathanson, B. AU - Sturmer, T. AU - Brookhart, A. AU - Stefan, M. S. AU - Setoguchi, S. AU - Beadles, C. AU - Lindenauer, P. K. PY - 2014 DA - 2014// TI - Association between the choice of IV crystalloid and in-hospital mortality among critically ill adults with sepsis* JO - Crit Care Med VL - 42 UR - https://doi.org/10.1097/CCM.0000000000000305 DO - 10.1097/CCM.0000000000000305 ID - Raghunathan2014 ER - TY - JOUR AU - Suetrong, B. AU - Pisitsak, C. AU - Boyd, J. H. AU - Russell, J. A. AU - Walley, K. R. PY - 2016 DA - 2016// TI - Hyperchloremia and moderate increase in serum chloride are associated with acute kidney injury in severe sepsis and septic shock patients JO - Crit Care VL - 20 UR - https://doi.org/10.1186/s13054-016-1499-7 DO - 10.1186/s13054-016-1499-7 ID - Suetrong2016 ER - TY - JOUR AU - Neyra, J. A. AU - Canepa-Escaro, F. AU - Li, X. AU - Manllo, J. AU - Adams-Huet, B. AU - Yee, J. AU - Yessayan, L. PY - 2015 DA - 2015// TI - Association of hyperchloremia with hospital mortality in critically ill septic patients JO - Crit Care Med VL - 43 UR - https://doi.org/10.1097/CCM.0000000000001161 DO - 10.1097/CCM.0000000000001161 ID - Neyra2015 ER - TY - JOUR AU - Yunos, N. M. AU - Bellomo, R. AU - Hegarty, C. AU - Story, D. AU - Ho, L. AU - Bailey, M. PY - 2012 DA - 2012// TI - Association between a chloride-liberal vs chloride-restrictive intravenous fluid administration strategy and kidney injury in critically ill adults JO - JAMA VL - 308 UR - https://doi.org/10.1001/jama.2012.13356 DO - 10.1001/jama.2012.13356 ID - Yunos2012 ER - TY - JOUR AU - Sanchez-Pinto, L. N. AU - Luo, Y. AU - Churpek, M. M. PY - 2018 DA - 2018// TI - Big data and data science in critical care JO - Chest VL - 154 UR - https://doi.org/10.1016/j.chest.2018.04.037 DO - 10.1016/j.chest.2018.04.037 ID - Sanchez-Pinto2018 ER - TY - JOUR AU - Johnson, A. E. AU - Pollard, T. J. AU - Shen, L. AU - Lehman, L. W. AU - Feng, M. AU - Ghassemi, M. AU - Moody, B. AU - Szolovits, P. AU - Celi, L. A. AU - Mark, R. G. PY - 2016 DA - 2016// TI - MIMIC-III, a freely accessible critical care database JO - Sci Data VL - 3 UR - https://doi.org/10.1038/sdata.2016.35 DO - 10.1038/sdata.2016.35 ID - Johnson2016 ER - TY - JOUR AU - Lin, K. AU - Hu, Y. AU - Kong, G. PY - 2019 DA - 2019// TI - Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model JO - Int J Med Inform VL - 125 UR - https://doi.org/10.1016/j.ijmedinf.2019.02.002 DO - 10.1016/j.ijmedinf.2019.02.002 ID - Lin2019 ER - TY - JOUR AU - Zhang, S. AU - Zhang, K. AU - Yu, Y. AU - Tian, B. AU - Cui, W. AU - Zhang, G. PY - 2019 DA - 2019// TI - A new prediction model for assessing the clinical outcomes of ICU patients with community-acquired pneumonia: a decision tree analysis JO - Ann Med VL - 51 UR - https://doi.org/10.1080/07853890.2018.1518580 DO - 10.1080/07853890.2018.1518580 ID - Zhang2019 ER - TY - JOUR AU - Barrett, L. A. AU - Payrovnaziri, S. N. AU - Bian, J. AU - He, Z. PY - 2019 DA - 2019// TI - Building computational models to predict one-year mortality in ICU patients with acute myocardial infarction and post myocardial infarction syndrome JO - AMIA Jt Summits Transl Sci Proc VL - 2019 ID - Barrett2019 ER - TY - JOUR AU - Garcia-Gallo, J. E. AU - Fonseca-Ruiz, N. J. AU - Celi, L. A. AU - Duitama-Munoz, J. F. PY - 2018 DA - 2018// TI - A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis JO - Med Intensiva VL - 44 UR - https://doi.org/10.1016/j.medin.2018.07.016 DO - 10.1016/j.medin.2018.07.016 ID - Garcia-Gallo2018 ER - TY - STD TI - Luo Y, Xin Y, Joshi R, Celi L, Szolovits P. Predicting ICU mortality risk by grouping temporal trends from a multivariate panel of physiologic measurements. In: Thirtieth AAAI conference on artificial intelligence. 2016. ID - ref13 ER - TY - JOUR AU - Lee, C. H. AU - Arzeno, N. M. AU - Ho, J. C. AU - Vikalo, H. AU - Ghosh, J. PY - 2012 DA - 2012// TI - An imputation-enhanced algorithm for ICU mortality prediction JO - Comput Cardiol VL - 39 ID - Lee2012 ER - TY - STD TI - Silva I, Moody G, Scott DJ, Celi LA, Mark RG. Predicting in-hospital mortality of ICU patients: the PhysioNet/computing in cardiology challenge, vol. 39; 2012. p. 245–8. ID - ref15 ER - TY - JOUR AU - Lin, Y. W. AU - Zhou, Y. AU - Faghri, F. AU - Shaw, M. J. AU - Campbell, R. H. PY - 2019 DA - 2019// TI - Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory JO - PLoS ONE VL - 14 ID - Lin2019 ER - TY - STD TI - Vieira SM, Carvalho JP, Fialho AS, Reti SR, Finkelstein SN, Sousa JMC. A decision support system for ICU readmissions prevention, 2013. p. 251–6. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608408. ID - ref17 ER - TY - JOUR AU - Fialho, A. S. AU - Cismondi, F. AU - Vieira, S. M. AU - Reti, S. R. AU - Sousa, J. M. C. AU - Finkelstein, S. N. PY - 2012 DA - 2012// TI - Data mining using clinical physiology at discharge to predict ICU readmissions JO - Expert Syst Appl VL - 39 UR - https://doi.org/10.1016/j.eswa.2012.05.086 DO - 10.1016/j.eswa.2012.05.086 ID - Fialho2012 ER - TY - JOUR AU - Zimmerman, L. P. AU - Reyfman, P. A. AU - Smith, A. D. R. AU - Zeng, Z. AU - Kho, A. AU - Sanchez-Pinto, L. N. AU - Luo, Y. PY - 2019 DA - 2019// TI - Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements JO - BMC Med Inform Decis Mak VL - 19 UR - https://doi.org/10.1186/s12911-019-0733-z DO - 10.1186/s12911-019-0733-z ID - Zimmerman2019 ER - TY - JOUR AU - He, J. AU - Hu, Y. AU - Zhang, X. AU - Wu, L. AU - Waitman, L. R. AU - Liu, M. PY - 2018 DA - 2018// TI - Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records JO - JAMIA Open VL - 2 UR - https://doi.org/10.1093/jamiaopen/ooy043 DO - 10.1093/jamiaopen/ooy043 ID - He2018 ER - TY - STD TI - Li Y, Yao L, Mao C, Srivastava A, Jiang X, Luo Y. Early prediction of acute kidney injury in critical care setting using clinical notes. In: IEEE international conference on bioinformatics and biomedicine (BIBM). IEEE; 2018. p. 683–6. ID - ref21 ER - TY - JOUR AU - Meyer, A. AU - Zverinski, D. AU - Pfahringer, B. AU - Kempfert, J. AU - Kuehne, T. AU - Sundermann, S. H. AU - Stamm, C. AU - Hofmann, T. AU - Falk, V. AU - Eickhoff, C. PY - 2018 DA - 2018// TI - Machine learning for real-time prediction of complications in critical care: a retrospective study JO - Lancet Respir Med VL - 6 UR - https://doi.org/10.1016/S2213-2600(18)30300-X DO - 10.1016/S2213-2600(18)30300-X ID - Meyer2018 ER - TY - STD TI - Yeh P, Pan Y, Sanchez-Pinto LN, Luo Y. Using machine learning to predict hyperchloremia in critically ill patients. 2019. ID - ref23 ER - TY - JOUR AU - Sakr, Y. AU - Lobo, S. M. AU - Moreno, R. P. AU - Gerlach, H. AU - Ranieri, V. M. AU - Michalopoulos, A. AU - Vincent, J. L. PY - 2012 DA - 2012// TI - Patterns and early evolution of organ failure in the intensive care unit and their relation to outcome JO - Crit Care VL - 16 UR - https://doi.org/10.1186/cc11868 DO - 10.1186/cc11868 ID - Sakr2012 ER - TY - STD TI - Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, Reinhart CK, Suter PM, Thijs LG. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22(7):707–10. ID - ref25 ER - TY - STD TI - Kidney Disease: Improving Global Outcomes (KDIGO). Kidney International Supplements. KDIGO Clinical Practice Guideline for Acute Kidney Injury. 2012;2(1):1–138. ID - ref26 ER - TY - JOUR AU - Quan, H. AU - Sundararajan, V. AU - Halfon, P. AU - Fong, A. AU - Burnand, B. AU - Luthi, J. C. AU - Saunders, L. D. AU - Beck, C. A. AU - Feasby, T. E. AU - Ghali, W. A. PY - 2005 DA - 2005// TI - Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data JO - Med Care VL - 43 UR - https://doi.org/10.1097/01.mlr.0000182534.19832.83 DO - 10.1097/01.mlr.0000182534.19832.83 ID - Quan2005 ER - TY - STD TI - Chen T, Guestrin C. XGBoost: a scalable tree boosting system. CoRR. abs/1603.02754. 2016. ID - ref28 ER - TY - JOUR AU - Pedregosa, F. AU - Varoquaux, G. AU - Gramfort, A. AU - Michel, V. AU - Thirion, B. AU - Grisel, O. AU - Blondel, M. AU - Prettenhofer, P. AU - Weiss, R. AU - Dubourg, V. AU - Vanderplas, J. AU - Passos, A. AU - Cournapeau, D. AU - Brucher, M. AU - Perrot, M. AU - Duchesnay, E. PY - 2011 DA - 2011// TI - Scikit-learn: machine learning in Python JO - J Mach Learn Res VL - 12 ID - Pedregosa2011 ER - TY - JOUR AU - Dewan, M. AU - Sanchez-Pinto, L. N. PY - 2019 DA - 2019// TI - Crystal balls and magic eight balls: the art of developing and implementing automated algorithms in acute care pediatrics JO - Pediatr Crit Care Med VL - 20 UR - https://doi.org/10.1097/PCC.0000000000002147 DO - 10.1097/PCC.0000000000002147 ID - Dewan2019 ER -