{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T08:39:21Z","timestamp":1788683961415,"version":"build-2803163510"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1186\/s12911-016-0277-4","type":"journal-article","created":{"date-parts":[[2016,3,29]],"date-time":"2016-03-29T16:17:12Z","timestamp":1459268232000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":142,"title":["Prediction and detection models for acute kidney injury in hospitalized older adults"],"prefix":"10.1186","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5522-0674","authenticated-orcid":false,"given":"Rohit J.","family":"Kate","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruth M.","family":"Perez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debesh","family":"Mazumdar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kalyan S.","family":"Pasupathy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vani","family":"Nilakantan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,3,29]]},"reference":[{"issue":"10","key":"277_CR1","doi-asserted-by":"crossref","first-page":"2740","DOI":"10.1681\/ASN.2006091060","volume":"18","author":"SS Waikar","year":"2007","unstructured":"Waikar SS, Curhan GC, Ayanian JZ, Chertow GM. Race and mortality after acute renal failure. J Am Soc Nephrol. 2007;18(10):2740\u20138.","journal-title":"J Am Soc Nephrol"},{"issue":"11","key":"277_CR2","doi-asserted-by":"crossref","first-page":"3365","DOI":"10.1681\/ASN.2004090740","volume":"16","author":"GM Chertow","year":"2005","unstructured":"Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16(11):3365\u201370.","journal-title":"J Am Soc Nephrol"},{"issue":"4","key":"277_CR3","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1177\/0885066607299510","volume":"22","author":"R Venkataraman","year":"2007","unstructured":"Venkataraman R, Kellum JA. Defining acute renal failure: the RIFLE criteria. J Intensive Care Med. 2007;22(4):187\u201393.","journal-title":"J Intensive Care Med"},{"issue":"1","key":"277_CR4","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1093\/ndt\/18.1.77","volume":"18","author":"BO Eriksen","year":"2003","unstructured":"Eriksen BO, Hoff KR, Solberg S. Prediction of acute renal failure after cardiac surgery: retrospective cross\u2010validation of a clinical algorithm. Nephrol Dial Transplant. 2003;18(1):77\u201381.","journal-title":"Nephrol Dial Transplant"},{"issue":"5","key":"277_CR5","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1053\/j.ajkd.2013.02.349","volume":"61","author":"PM Palevsky","year":"2013","unstructured":"Palevsky PM, Liu KD, Brophy PD, et al. KDOQI US commentary on the 2012 KDIGO clinical practice guideline for acute kidney injury. Am J Kidney Dis. 2013;61(5):649\u201372.","journal-title":"Am J Kidney Dis"},{"issue":"1","key":"277_CR6","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/1471-2369-11-22","volume":"11","author":"AS Go","year":"2010","unstructured":"Go AS, Parikh CR, Ikizler TA, et al. The assessment, serial evaluation, and subsequent sequelae of acute kidney injury (ASSESS-AKI) study: design and methods. BMC Nephrol. 2010;11(1):22.","journal-title":"BMC Nephrol"},{"issue":"6","key":"277_CR7","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1053\/j.ajkd.2014.10.018","volume":"65","author":"SL Kane-Gill","year":"2015","unstructured":"Kane-Gill SL, Sileanu FE, Murugan R, Trietley GS, Handler SM, Kellum JA. Risk factors for acute kidney injury in older adults with critical illness: A retrospective cohort study. Am J Kidney Dis. 2015;65(6):860\u20139.","journal-title":"Am J Kidney Dis"},{"key":"277_CR8","volume-title":"Applied logistic regression","author":"DW Hosmer Jr","year":"2004","unstructured":"Hosmer Jr DW, Lemeshow S. Applied logistic regression. Hoboken, NJ: John Wiley & Sons; 2004."},{"key":"277_CR9","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An introduction to support vector machines and other kernel-based learning methods","author":"N Cristianini","year":"2000","unstructured":"Cristianini N, Shawe-Taylor J. An introduction to support vector machines and other kernel-based learning methods. Cambridge: University press; 2000."},{"key":"277_CR10","volume-title":"C4.5: Programs for Machine Learning","author":"R Quinlan","year":"1993","unstructured":"Quinlan R. C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann Publishers; 1993."},{"key":"277_CR11","doi-asserted-by":"crossref","unstructured":"Lewis DD. Naive (Bayes) at forty: The independence assumption in information retrieval. Machine learning: ECML-98. Berlin Heidelberg: Springer; 1998. p. 4\u201315.","DOI":"10.1007\/BFb0026666"},{"key":"277_CR12","doi-asserted-by":"crossref","unstructured":"Dietterich TG. Ensemble methods in machine learning. Multiple classifier systems. Berlin Heidelberg: Springer; 2000. p. 1\u201315.","DOI":"10.1007\/3-540-45014-9_1"},{"issue":"1","key":"277_CR13","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH. The WEKA data mining software: an update. ACM SIGKDD explorations newsletter. 2009;11(1):10\u20138.","journal-title":"ACM SIGKDD explorations newsletter"},{"key":"277_CR14","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511921803","volume-title":"Evaluating learning algorithms: a classification perspective","author":"N Japkowicz","year":"2011","unstructured":"Japkowicz N, Shah M. Evaluating learning algorithms: a classification perspective. Cambridge: University Press; 2011."},{"issue":"6","key":"277_CR15","doi-asserted-by":"crossref","first-page":"2594","DOI":"10.1046\/j.1523-1755.2000.00119.x","volume":"57","author":"EB Fortescue","year":"2000","unstructured":"Fortescue EB, Bates DW, Chertow GM. Predicting acute renal failure after coronary bypass surgery: cross-validation of two risk-stratification algorithms. Kidney Int. 2000;57(6):2594\u2013602.","journal-title":"Kidney Int"},{"issue":"6","key":"277_CR16","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1053\/j.jvca.2013.04.007","volume":"27","author":"WH Kim","year":"2013","unstructured":"Kim WH, Lee SM, Choi JW, et al. Simplified clinical risk score to predict acute kidney injury after aortic surgery. J Cardiothorac Vasc Anesth. 2013;27(6):1158\u201366.","journal-title":"J Cardiothorac Vasc Anesth"},{"issue":"19","key":"277_CR17","doi-asserted-by":"crossref","first-page":"1821","DOI":"10.1001\/jamainternmed.2013.9774","volume":"173","author":"GM McMahon","year":"2013","unstructured":"McMahon GM, Zeng X, Waikar SS. A risk prediction score for kidney failure or mortality in rhabdomyolysis. JAMA internal medicine. 2013;173(19):1821\u20137.","journal-title":"JAMA internal medicine"},{"issue":"21","key":"277_CR18","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.1161\/CIRCULATIONAHA.106.635573","volume":"114","author":"RH Mehta","year":"2006","unstructured":"Mehta RH, Grab JD, O\u2019Brien SM, et al. Bedside tool for predicting the risk of postoperative dialysis in patients undergoing cardiac surgery. Circulation. 2006;114(21):2208\u201316.","journal-title":"Circulation"},{"issue":"8","key":"277_CR19","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1001\/jama.2011.1204","volume":"306","author":"HJ Murff","year":"2011","unstructured":"Murff HJ, FitzHenry F, Matheny ME, et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. Jama. 2011;306(8):848\u201355.","journal-title":"Jama"},{"issue":"6","key":"277_CR20","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1177\/0272989X10364246","volume":"30","author":"ME Matheny","year":"2010","unstructured":"Matheny ME, Miller RA, Ikizler TA, et al. Development of inpatient risk stratification models of acute kidney injury for use in electronic health records. Med Decis Making. 2010;30(6):639\u201350.","journal-title":"Med Decis Making"},{"issue":"9981","key":"277_CR21","doi-asserted-by":"crossref","first-page":"1966","DOI":"10.1016\/S0140-6736(15)60266-5","volume":"385","author":"FP Wilson","year":"2015","unstructured":"Wilson FP, Shashaty M, Testani J, et al. Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial. The Lancet. 2015;385(9981):1966\u201374.","journal-title":"The Lancet"},{"issue":"2","key":"277_CR22","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1038\/ki.2015.101","volume":"88","author":"T Dreischulte","year":"2015","unstructured":"Dreischulte T, Morales DR, Bell S, Guthrie B. Combined use of nonsteroidal anti-inflammatory drugs with diuretics and\/or renin-angiotensin system inhibitors in the community increases the risk of acute kidney injury. Kidney Int. 2015;88(2):396\u2013403.","journal-title":"Kidney Int"},{"key":"277_CR23","doi-asserted-by":"crossref","unstructured":"Ryd\u00e9n L, Sartipy U, Evans MHolzmann MJ. Acute kidney injury after coronary artery bypass grafting and long-term risk of end-stage renal disease. Circulation. 2014: CIRCULATIONAHA. 114.010622.","DOI":"10.1161\/CIRCULATIONAHA.114.010622"},{"issue":"1","key":"277_CR24","first-page":"83","volume":"6","author":"D Olsson","year":"2013","unstructured":"Olsson D, Sartipy U, Braunschweig FHolzmann MJ. Acute kidney injury following coronary artery bypass surgery and long-term risk of heart failure. Circulation. 2013;6(1):83\u201390.","journal-title":"Circulation"},{"issue":"8","key":"277_CR25","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.2215\/CJN.08300813","volume":"9","author":"M Darmon","year":"2014","unstructured":"Darmon M, Clec\u2019h C, Adrie C, et al. Acute respiratory distress syndrome and risk of AKI among critically ill patients. Clin J Am Soc Nephrol. 2014;9(8):1347\u201353.","journal-title":"Clin J Am Soc Nephrol"},{"issue":"5","key":"277_CR26","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1111\/j.1464-5491.2011.03498.x","volume":"29","author":"C Girman","year":"2012","unstructured":"Girman C, Kou T, Brodovicz K, et al. Risk of acute renal failure in patients with type 2 diabetes mellitus. Diabet Med. 2012;29(5):614\u201321.","journal-title":"Diabet Med"}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-016-0277-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,5]],"date-time":"2019-09-05T22:24:19Z","timestamp":1567722259000},"score":1,"resource":{"primary":{"URL":"http:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-016-0277-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,29]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["277"],"URL":"https:\/\/doi.org\/10.1186\/s12911-016-0277-4","relation":{},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,29]]},"article-number":"39"}}