{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T21:32:13Z","timestamp":1793309533321,"version":"4.5.0"},"reference-count":46,"publisher":"American Medical Association (AMA)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"DOI":"10.1001\/jamanetworkopen.2022.16393","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T15:36:07Z","timestamp":1654875367000},"page":"e2216393","source":"Crossref","is-referenced-by-count":49,"title":["A Prehospital Triage System to Detect Traumatic Intracranial Hemorrhage Using Machine Learning Algorithms"],"prefix":"10.1001","volume":"5","author":[{"given":"Daisu","family":"Abe","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Motoki","family":"Inaji","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takeshi","family":"Hase","sequence":"additional","affiliation":[{"name":"Institute of Education, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shota","family":"Takahashi","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryosuke","family":"Sakai","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuga","family":"Ayabe","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoji","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhiro","family":"Otomo","sequence":"additional","affiliation":[{"name":"Department of Acute Critical Care and Disaster Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taketoshi","family":"Maehara","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"zoi220481r1","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.3171\/2017.10.JNS17352","article-title":"Estimating the global incidence of traumatic brain injury.","volume":"130","author":"Dewan","year":"2018","journal-title":"J Neurosurg"},{"issue":"12","key":"zoi220481r2","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1016\/S1474-4422(17)30371-X","article-title":"Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research.","volume":"16","author":"Maas","year":"2017","journal-title":"Lancet Neurol"},{"issue":"1","key":"zoi220481r3","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/S1474-4422(18)30415-0","article-title":"Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.","volume":"18","author":"James","year":"2019","journal-title":"Lancet Neurol"},{"issue":"4","key":"zoi220481r4","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1136\/jnnp.60.4.362","article-title":"Epidemiology of head injury.","volume":"60","author":"Jennett","year":"1996","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"10","key":"zoi220481r5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1003360","article-title":"Association between prehospital time and outcome of trauma patients in 4 Asian countries: a cross-national, multicenter cohort study.","volume":"17","author":"Chen","year":"2020","journal-title":"PLoS Med"},{"issue":"9266","key":"zoi220481r6","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1016\/S0140-6736(00)04561-X","article-title":"The Canadian CT Head Rule for patients with minor head injury.","volume":"357","author":"Stiell","year":"2001","journal-title":"Lancet"},{"issue":"2","key":"zoi220481r7","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1056\/NEJM200007133430204","article-title":"Indications for computed tomography in patients with minor head injury.","volume":"343","author":"Haydel","year":"2000","journal-title":"N Engl J Med"},{"issue":"2","key":"zoi220481r8","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1136\/emj.2004.022327","article-title":"NICE guideline for the management of head injury: an audit demonstrating its impact on a district general hospital, with a cost analysis for England and Wales.","volume":"23","author":"Shravat","year":"2006","journal-title":"Emerg Med J"},{"key":"zoi220481r9","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1186\/s40064-016-1781-9","article-title":"Canadian CT Head Rule and New Orleans Criteria in mild traumatic brain injury: comparison at a tertiary referral hospital in Japan.","volume":"5","author":"Mata-Mbemba","year":"2016","journal-title":"Springerplus"},{"key":"zoi220481r10","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/1749-7922-9-31","article-title":"Comparison of the Canadian CT Head Rule and the New Orleans Criteria in patients with minor head injury.","volume":"9","author":"Kavalci","year":"2014","journal-title":"World J Emerg Surg"},{"issue":"1","key":"zoi220481r11","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1111\/j.1553-2712.2011.01247.x","article-title":"Performance of the Canadian CT Head Rule and the New Orleans Criteria for predicting any traumatic intracranial injury on computed tomography in a United States level I trauma center.","volume":"19","author":"Papa","year":"2012","journal-title":"Acad Emerg Med"},{"issue":"5","key":"zoi220481r12","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1158\/1078-0432.CCR-17-2236","article-title":"Residual convolutional neural network for the determination of IDH status in low- and high-grade gliomas from MR imaging.","volume":"24","author":"Chang","year":"2018","journal-title":"Clin Cancer Res"},{"key":"zoi220481r13","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.101779","article-title":"An enhanced deep learning approach for brain cancer MRI images classification using residual networks.","volume":"102","author":"Abdelaziz Ismael","year":"2020","journal-title":"Artif Intell Med"},{"issue":"4","key":"zoi220481r14","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s11102-021-01128-5","article-title":"Neural network modeling for prediction of recurrence, progression, and hormonal non-remission in patients following resection of functional pituitary adenomas.","volume":"24","author":"Shahrestani","year":"2021","journal-title":"Pituitary"},{"issue":"10","key":"zoi220481r15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0206006","article-title":"A data-driven artificial intelligence model for remote triage in the prehospital environment.","volume":"13","author":"Kim","year":"2018","journal-title":"PLoS One"},{"issue":"8","key":"zoi220481r16","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.18467","article-title":"Development and assessment of an interpretable machine learning triage tool for estimating mortality after emergency admissions.","volume":"4","author":"Xie","year":"2021","journal-title":"JAMA Netw Open"},{"issue":"1","key":"zoi220481r17","doi-asserted-by":"publisher","first-page":"e91","DOI":"10.1097\/CCM.0000000000004705","article-title":"Two-step imputation and AdaBoost-based classification for early prediction of sepsis on imbalanced clinical data.","volume":"49","author":"Baniasadi","year":"2021","journal-title":"Crit Care Med"},{"issue":"1","key":"zoi220481r18","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1186\/s13054-020-03179-9","article-title":"Prediction of the development of acute kidney injury following cardiac surgery by machine learning.","volume":"24","author":"Tseng","year":"2020","journal-title":"Crit Care"},{"key":"zoi220481r19","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2020.587587","article-title":"Predictors of mortality in traumatic intracranial hemorrhage: a National Trauma Data Bank study.","volume":"11","author":"Wu","year":"2020","journal-title":"Front Neurol"},{"key":"zoi220481r20","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2021.810195","article-title":"Development and validation of a simplified prehospital triage model using neural network to predict mortality in trauma patients: the ability to follow commands, age, pulse rate, systolic blood pressure and peripheral oxygen saturation (CAPSO) model.","volume":"8","author":"Li","year":"2021","journal-title":"Front Med (Lausanne)"},{"issue":"1","key":"zoi220481r21","doi-asserted-by":"publisher","first-page":"24044","DOI":"10.1038\/s41598-021-03104-2","article-title":"Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department.","volume":"11","author":"Liu","year":"2021","journal-title":"Sci Rep"},{"issue":"1-4","key":"zoi220481r22","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/BF01405862","article-title":"Assessment and prognosis of coma after head injury.","volume":"34","author":"Teasdale","year":"1976","journal-title":"Acta Neurochir (Wien)"},{"issue":"2","key":"zoi220481r24","doi-asserted-by":"publisher","first-page":"285","DOI":"10.3171\/jns.1983.59.2.0285","article-title":"The National Traumatic Coma Data Bank, part 2: patients who talk and deteriorate: implications for treatment.","volume":"59","author":"Marshall","year":"1983","journal-title":"J Neurosurg"},{"issue":"2","key":"zoi220481r25","doi-asserted-by":"publisher","first-page":"256","DOI":"10.3171\/jns.1991.75.2.0256","article-title":"Head-injured patients who talk and deteriorate into coma: analysis of 211 cases studied with computerized tomography.","volume":"75","author":"Lobato","year":"1991","journal-title":"J Neurosurg"},{"issue":"1","key":"zoi220481r26","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1227\/00006123-198707000-00010","article-title":"Analysis of management in thirty-three closed head injury patients who \u201ctalked and deteriorated\u201d.","volume":"21","author":"Rockswold","year":"1987","journal-title":"Neurosurgery"},{"issue":"2","key":"zoi220481r28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0246306","article-title":"Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model.","volume":"16","author":"Liu","year":"2021","journal-title":"PLoS One"},{"key":"zoi220481r29","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests.","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"key":"zoi220481r30","first-page":"1063","article-title":"Analysis of a random forests model.","volume":"13","author":"Biau","year":"2012","journal-title":"J Machine Learning Res"},{"key":"zoi220481r34","first-page":"389","article-title":"Machine learning based opioid overdose prediction using electronic health records.","volume":"2019","author":"Dong","year":"2020","journal-title":"AIMA Annu Symp Proc"},{"issue":"8017","key":"zoi220481r35","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1016\/S0140-6736(77)91201-6","article-title":"Aspects of coma after severe head injury.","volume":"1","author":"Jennett","year":"1977","journal-title":"Lancet"},{"issue":"8","key":"zoi220481r36","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1136\/emermed-2013-203488","article-title":"Glasgow Coma Scale is unreliable for the prediction of severe head injury in elderly trauma patients.","volume":"32","author":"Kehoe","year":"2015","journal-title":"Emerg Med J"},{"issue":"1","key":"zoi220481r37","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1136\/emermed-2020-209635","article-title":"Prehospital clinical signs are a poor predictor of raised intracranial pressure following traumatic brain injury.","volume":"38","author":"Ter Avest","year":"2021","journal-title":"Emerg Med J"},{"issue":"14","key":"zoi220481r38","doi-asserted-by":"publisher","first-page":"1347","DOI":"10.1056\/NEJMra1814259","article-title":"Machine learning in medicine.","volume":"380","author":"Rajkomar","year":"2019","journal-title":"N Engl J Med"},{"issue":"1","key":"zoi220481r39","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1186\/s13049-019-0673-8","article-title":"Application of NICE or SNC guidelines may reduce the need for computerized tomographies in patients with mild traumatic brain injury: a retrospective chart review and theoretical application of five guidelines.","volume":"27","author":"Svensson","year":"2019","journal-title":"Scand J Trauma Resusc Emerg Med"},{"issue":"1","key":"zoi220481r40","doi-asserted-by":"publisher","first-page":"7","DOI":"10.22730\/jmls.2020.17.1.7","article-title":"Validation of guidelines for field triage of injured patients for major trauma in patients of brain and spinal injury.","volume":"17","author":"Lee","year":"2020","journal-title":"J Med Life Sci"},{"issue":"2","key":"zoi220481r41","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.jamcollsurg.2015.10.016","article-title":"Prospective validation of the national field triage guidelines for identifying seriously injured persons.","volume":"222","author":"Newgard","year":"2016","journal-title":"J Am Coll Surg"},{"issue":"7","key":"zoi220481r42","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1001\/jamasurg.2018.1050","article-title":"Accuracy of pediatric trauma field triage: a systematic review.","volume":"153","author":"van der Sluijs","year":"2018","journal-title":"JAMA Surg"},{"issue":"7","key":"zoi220481r43","doi-asserted-by":"publisher","first-page":"1308","DOI":"10.1007\/s42452-020-3060-1","article-title":"Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest.","volume":"2","author":"Sahin","year":"2020","journal-title":"SN Appl Sci"},{"issue":"10","key":"zoi220481r44","doi-asserted-by":"publisher","first-page":"1756","DOI":"10.3390\/math8101756","article-title":"A comparative performance assessment of ensemble learning for credit scoring.","volume":"8","author":"Li","year":"2020","journal-title":"Mathematics"},{"issue":"9","key":"zoi220481r46","first-page":"623","article-title":"New grading of level of disordered consiousness (author\u2019s transl).","volume":"2","author":"Ohta","year":"1974","journal-title":"No Shinkei Geka"},{"key":"zoi220481r27","first-page":"785","volume-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"Tianqi","year":"2016"},{"key":"zoi220481r31","doi-asserted-by":"crossref","DOI":"10.1002\/9781118548387","volume-title":"Applied Logistic Regression","author":"Hosmer","year":"2013","edition":"3rd ed"},{"key":"zoi220481r32","doi-asserted-by":"crossref","first-page":"61","DOI":"10.7551\/mitpress\/1113.003.0008","volume-title":"Advances in Large Margin Classifiers","author":"Platt","year":"2000"},{"key":"zoi220481r33","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1145\/1102351.1102430","volume-title":"Proceedings of the 22nd International Conference on Machine Learning","author":"Niculescu-Mizil","year":"2005"},{"key":"zoi220481r23","unstructured":"National Institute for Health and Care Excellence. Head injury: assessment and early management: clinical guideline [CG176]. Updated September 13, 2019. Accessed April 10, 2022. https:\/\/www.nice.org.uk\/guidance\/cg176"},{"key":"zoi220481r45","unstructured":"GitHub. DaisuAbe\/HeadTraumaTriage. Accessed May 2, 2022. https:\/\/github.com\/DaisuAbe\/HeadTraumaTriage"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2793225\/abe_2022_oi_220481_1654263485.26457.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T23:05:46Z","timestamp":1700694346000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2793225"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,10]]},"references-count":46,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,6,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.16393","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,10]]}}}