{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T22:01:35Z","timestamp":1780092095935,"version":"3.54.0"},"reference-count":48,"publisher":"American Medical Association (AMA)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Surg"],"published-print":{"date-parts":[[2019,11,1]]},"DOI":"10.1001\/jamasurg.2019.2979","type":"journal-article","created":{"date-parts":[[2019,8,15]],"date-time":"2019-08-15T06:00:53Z","timestamp":1565848853000},"page":"1014","source":"Crossref","is-referenced-by-count":49,"title":["Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery"],"prefix":"10.1001","volume":"154","author":[{"given":"J. Madison","family":"Hyer","sequence":"first","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aslam","family":"Ejaz","sequence":"additional","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diamantis I.","family":"Tsilimigras","sequence":"additional","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anghela Z.","family":"Paredes","sequence":"additional","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rittal","family":"Mehta","sequence":"additional","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timothy M.","family":"Pawlik","sequence":"additional","affiliation":[{"name":"Division of Surgical Oncology, Department of Surgery, Solove Research Institute, The Ohio State University, Wexner Medical Center, James Cancer Hospital, Columbus"},{"name":"Deputy Editor, JAMA Surgery"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","reference":[{"issue":"3","key":"soi190050r1","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1097\/SLA.0000000000002663","article-title":"Hot spotting as a strategy to identify high-cost surgical populations.","volume":"269","author":"Shubeck","year":"2019","journal-title":"Ann Surg"},{"issue":"1","key":"soi190050r2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1097\/SLA.0b013e3182402c17","article-title":"Hospital quality and the cost of inpatient surgery in the United States.","volume":"255","author":"Birkmeyer","year":"2012","journal-title":"Ann Surg"},{"issue":"8","key":"soi190050r3","doi-asserted-by":"publisher","first-page":"528","DOI":"10.7326\/M18-0085","article-title":"Persistence and drivers of high-cost status among dual-eligible Medicare and Medicaid beneficiaries: an observational study.","volume":"169","author":"Figueroa","year":"2018","journal-title":"Ann Intern Med"},{"issue":"4","key":"soi190050r4","doi-asserted-by":"publisher","first-page":"e203","DOI":"10.1016\/j.jemermed.2015.09.002","article-title":"Characteristics of hospital and emergency care super-utilizers with multiple chronic conditions.","volume":"50","author":"Harris","year":"2016","journal-title":"J Emerg Med"},{"issue":"1","key":"soi190050r5","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1200\/JCO.2014.57.7155","article-title":"Hospital volume, complications, and cost of cancer surgery in the elderly.","volume":"33","author":"Nathan","year":"2015","journal-title":"J Clin Oncol"},{"issue":"3","key":"soi190050r6","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1377\/hlthaff.26.3.808","article-title":"Long-term trends in the concentration of Medicare spending.","volume":"26","author":"Riley","year":"2007","journal-title":"Health Aff (Millwood)"},{"issue":"7","key":"soi190050r8","doi-asserted-by":"publisher","first-page":"III53","DOI":"10.1097\/00005650-200307001-00007","article-title":"Persistence in health expenditures in the short run: prevalence and consequences.","volume":"41","author":"Monheit","year":"2003","journal-title":"Med Care"},{"issue":"8","key":"soi190050r11","doi-asserted-by":"publisher","first-page":"1312","DOI":"10.1377\/hlthaff.2014.1186","article-title":"For many patients who use large amounts of health care services, the need is intense yet temporary.","volume":"34","author":"Johnson","year":"2015","journal-title":"Health Aff (Millwood)"},{"key":"soi190050r12","first-page":"40","article-title":"The hot spotters: can we lower medical costs by giving the neediest patients better care?","author":"Gawande","year":"2011","journal-title":"New Yorker"},{"issue":"6","key":"soi190050r13","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1016\/j.hpb.2018.10.011","article-title":"Hot spotting surgical patients undergoing hepatopancreatic procedures.","volume":"21","author":"Merath","year":"2019","journal-title":"HPB (Oxford)"},{"issue":"10","key":"soi190050r14","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1001\/jamasurg.2017.1578","article-title":"An instrumental variable analysis comparing Medicare expenditures for laparoscopic vs open colectomy.","volume":"152","author":"Sheetz","year":"2017","journal-title":"JAMA Surg"},{"issue":"6","key":"soi190050r15","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1097\/SLA.0000000000002312","article-title":"Surgeon experience and Medicare expenditures for laparoscopic compared to open colectomy.","volume":"268","author":"Sheetz","year":"2018","journal-title":"Ann Surg"},{"issue":"9","key":"soi190050r16","doi-asserted-by":"publisher","first-page":"2969","DOI":"10.1007\/s00268-018-4566-1","article-title":"Hospital teaching status and Medicare expenditures for hepato-pancreato-biliary surgery.","volume":"42","author":"Chen","year":"2018","journal-title":"World J Surg"},{"issue":"9","key":"soi190050r17","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1016\/j.hpb.2018.03.010","article-title":"Perioperative complications and the cost of rescue or failure to rescue in hepato-pancreato-biliary surgery.","volume":"20","author":"Chen","year":"2018","journal-title":"HPB (Oxford)"},{"issue":"3","key":"soi190050r18","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.hpb.2018.08.005","article-title":"Variation in the cost-of-rescue among Medicare patients with complications following hepatopancreatic surgery.","volume":"21","author":"Merath","year":"2019","journal-title":"HPB (Oxford)"},{"issue":"12","key":"soi190050r19","doi-asserted-by":"publisher","first-page":"2088","DOI":"10.1007\/s11605-018-3883-x","article-title":"A Comparison of open and minimally invasive surgery for hepatic and pancreatic resections among the Medicare population.","volume":"22","author":"Chen","year":"2018","journal-title":"J Gastrointest Surg"},{"issue":"11","key":"soi190050r20","doi-asserted-by":"publisher","first-page":"2107","DOI":"10.1377\/hlthaff.2011.0783","article-title":"Large variations in Medicare payments for surgery highlight savings potential from bundled payment programs.","volume":"30","author":"Miller","year":"2011","journal-title":"Health Aff (Millwood)"},{"issue":"5","key":"soi190050r21","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1097\/SLA.0000000000002737","article-title":"Association between hospital participation in Medicare shared savings program accountable care organizations and readmission following major surgery.","volume":"269","author":"Borza","year":"2019","journal-title":"Ann Surg"},{"issue":"2","key":"soi190050r22","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1097\/SLA.0000000000002819","article-title":"Early impact of Medicare accountable care organizations on inpatient surgical spending.","volume":"269","author":"Nathan","year":"2019","journal-title":"Ann Surg"},{"key":"soi190050r23","article-title":"Association of hospital network participation with surgical outcomes and Medicare expenditures.","author":"Sheetz","year":"2018","journal-title":"Ann Surg"},{"issue":"7","key":"soi190050r24","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1097\/MLR.0b013e3181653d6b","article-title":"Hospital volume, surgeon volume, and patient costs for cancer surgery.","volume":"46","author":"Ho","year":"2008","journal-title":"Med Care"},{"issue":"20","key":"soi190050r25","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1161\/CIRCULATIONAHA.115.001593","article-title":"Machine learning in medicine.","volume":"132","author":"Deo","year":"2015","journal-title":"Circulation"},{"issue":"11","key":"soi190050r27","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002701","article-title":"Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a retrospective, single-site study.","volume":"15","author":"Corey","year":"2018","journal-title":"PLoS Med"},{"issue":"4","key":"soi190050r28","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1097\/SLA.0000000000002956","article-title":"Surgical risk is not linear: derivation and validation of a novel, user-friendly, and machine-learning-based predictive optimal trees in emergency surgery risk (POTTER) calculator.","volume":"268","author":"Bertsimas","year":"2018","journal-title":"Ann Surg"},{"issue":"4","key":"soi190050r29","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1111\/ajt.2019.19.issue-4","article-title":"Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantation.","volume":"19","author":"Bertsimas","year":"2019","journal-title":"Am J Transplant"},{"issue":"17","key":"soi190050r30","doi-asserted-by":"publisher","first-page":"2183","DOI":"10.1093\/bioinformatics\/btq354","article-title":"Logic Forest: an ensemble classifier for discovering logical combinations of binary markers.","volume":"26","author":"Wolf","year":"2010","journal-title":"Bioinformatics"},{"issue":"10","key":"soi190050r31","doi-asserted-by":"crossref","DOI":"10.3390\/genes9100496","article-title":"An analytic approach using candidate gene selection and logic forest to identify gene by environment interactions (G \u00d7 E) for systemic lupus erythematosus in African Americans.","volume":"9","author":"Wolf","year":"2018","journal-title":"Genes (Basel)"},{"issue":"1","key":"soi190050r33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/09-STS313","article-title":"Matching methods for causal inference: a review and a look forward.","volume":"25","author":"Stuart","year":"2010","journal-title":"Stat Sci"},{"issue":"3","key":"soi190050r34","article-title":"Estimating causal effects in observational studies using electronic health data: challenges and (some) solutions.","volume":"1","author":"Stuart","year":"2013","journal-title":"EGEMS (Wash DC)"},{"issue":"5","key":"soi190050r35","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1016\/0021-9681(87)90171-8","article-title":"A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.","volume":"40","author":"Charlson","year":"1987","journal-title":"J Chronic Dis"},{"issue":"1","key":"soi190050r36","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1097\/00005650-199801000-00004","article-title":"Comorbidity measures for use with administrative data.","volume":"36","author":"Elixhauser","year":"1998","journal-title":"Med Care"},{"issue":"5","key":"soi190050r37","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1001\/jama.2016.9797","article-title":"United States health care reform: progress to date and next steps.","volume":"316","author":"Obama","year":"2016","journal-title":"JAMA"},{"issue":"4","key":"soi190050r38","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1162\/AJHE_a_00024","article-title":"Medicare payments and system-level health-care use: the spillover effects of Medicare managed care.","volume":"1","author":"Baicker","year":"2015","journal-title":"Am J Health Econ"},{"issue":"12","key":"soi190050r40","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1001\/jamasurg.2014.552","article-title":"The association between hospital care intensity and surgical outcomes in Medicare patients.","volume":"149","author":"Sheetz","year":"2014","journal-title":"JAMA Surg"},{"issue":"9","key":"soi190050r41","doi-asserted-by":"publisher","first-page":"794","DOI":"10.2106\/JBJS.K.00072","article-title":"Patient-related risk factors for periprosthetic joint infection and postoperative mortality following total hip arthroplasty in Medicare patients.","volume":"94","author":"Bozic","year":"2012","journal-title":"J Bone Joint Surg Am"},{"issue":"2","key":"soi190050r42","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1007\/s11999-012-2605-z","article-title":"Estimating risk in Medicare patients with THA: an electronic risk calculator for periprosthetic joint infection and mortality.","volume":"471","author":"Bozic","year":"2013","journal-title":"Clin Orthop Relat Res"},{"issue":"2","key":"soi190050r43","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/j.amjsurg.2015.01.019","article-title":"Outcome of preoperative weight loss in colorectal surgery.","volume":"210","author":"Moghadamyeghaneh","year":"2015","journal-title":"Am J Surg"},{"issue":"11","key":"soi190050r44","doi-asserted-by":"publisher","first-page":"2432","DOI":"10.1016\/j.arth.2016.05.054","article-title":"Incidence of and preoperative risk factors for surgical delay in primary total hip arthroplasty: analysis from the American College of Surgeons National Surgical Quality Improvement Program.","volume":"31","author":"Phruetthiphat","year":"2016","journal-title":"J Arthroplasty"},{"issue":"9034","key":"soi190050r45","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1016\/S0140-6736(96)04330-9","article-title":"Effect of anaemia and cardiovascular disease on surgical mortality and morbidity.","volume":"348","author":"Carson","year":"1996","journal-title":"Lancet"},{"issue":"8","key":"soi190050r46","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1046\/j.1532-5415.2001.49212.x","article-title":"Relative importance of preoperative health status versus intraoperative factors in predicting postoperative adverse outcomes in geriatric surgical patients.","volume":"49","author":"Leung","year":"2001","journal-title":"J Am Geriatr Soc"},{"issue":"7","key":"soi190050r47","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1001\/jamasurg.2018.0489","article-title":"Practical guide to surgical data sets: Medicare claims data.","volume":"153","author":"Ghaferi","year":"2018","journal-title":"JAMA Surg"},{"issue":"2","key":"soi190050r48","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1245\/s10434-007-9658-3","article-title":"Limitations of claims and registry data in surgical oncology research.","volume":"15","author":"Nathan","year":"2008","journal-title":"Ann Surg Oncol"},{"key":"soi190050r26","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"Hastie","year":"2009","edition":"2nd ed"},{"key":"soi190050r32","volume-title":"Introduction to Data Mining","author":"Tan","year":"2019","edition":"2nd ed"},{"key":"soi190050r39","volume-title":"Applied Linear Statistical Models","author":"Kutner","year":"2005","edition":"5th ed"},{"key":"soi190050r7","unstructured":"Congressional Budget Office. High-Cost Medicare Beneficiaries. https:\/\/www.cbo.gov\/sites\/default\/files\/109th-congress-2005-2006\/reports\/05-03-medispending.pdf. Published May 2005. Accessed July 3, 2019."},{"key":"soi190050r9","unstructured":"Agency for Healthcare Research and Quality. Healthcare Cost and Utilization Project (HCUP). Statistical Brief #190: characteristics of hospital stays for super-utilizers by payer, 2012. https:\/\/www.hcup-us.ahrq.gov\/reports\/statbriefs\/sb190-Hospital-Stays-Super-Utilizers-Payer-2012.jsp. Published May 2015. Accessed July 3, 2019."},{"key":"soi190050r10","unstructured":"US Department of Health and Human Services; Agency for Healthcare Research and Quality. The high concentration of U.S. health care expenditures. https:\/\/meps.ahrq.gov\/data_files\/publications\/ra19\/ra19.pdf. Published June 2006. Accessed July 3, 2019."}],"container-title":["JAMA Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamasurgery\/articlepdf\/2747843\/jamasurgery_hyer_2019_oi_190050.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T16:10:29Z","timestamp":1574266229000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamasurgery\/fullarticle\/2747843"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,1]]},"references-count":48,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,11,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamasurg.2019.2979","relation":{},"ISSN":["2168-6254"],"issn-type":[{"value":"2168-6254","type":"print"}],"subject":[],"published":{"date-parts":[[2019,11,1]]}}}