{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T15:43:22Z","timestamp":1725723802935},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386180","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:47Z","timestamp":1705948127000},"page":"1843-1852","source":"Crossref","is-referenced-by-count":0,"title":["NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients"],"prefix":"10.1109","author":[{"given":"Tucker","family":"Stewart","sequence":"first","affiliation":[{"name":"University of Washington,School of Engineering and Technology,Tacoma,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katherine","family":"Stern","sequence":"additional","affiliation":[{"name":"University of Washington,Department of Surgery,Seattle,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grant","family":"O\u2019Keefe","sequence":"additional","affiliation":[{"name":"University of Washington,Department of Surgery,Seattle,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankur","family":"Teredesai","sequence":"additional","affiliation":[{"name":"University of Washington,School of Engineering and Technology,Tacoma,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juhua","family":"Hu","sequence":"additional","affiliation":[{"name":"University of Washington,School of Engineering and Technology,Tacoma,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/ofid\/ofy313"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000002697"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/TA.0000000000001758"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097\/SHK.0000000000000981"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2018.01511"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0885066612467162"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000003655"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201510-2023OC"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-42637-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1097\/01.ccm.0000217961.75225.e9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000001164"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjsurg.2019.03.005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcrc.2019.08.019"},{"key":"ref14","article-title":"A Variational Recurrent Adversarial Multi-Source Domain Adaptation Framework for Septic Shock Early Prediction Across Medical Systems","author":"Khoshnevisan","year":"2021","journal-title":"North Carolina State University"},{"key":"ref15","first-page":"243","article-title":"An improved multi-output gaussian process rnn with real-time validation for early sepsis detection","volume-title":"in Machine Learning for Healthcare Conference","author":"Futoma"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3414\/ME18-01-0014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103395"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-17431-x"},{"article-title":"An ensemble lstm for rare event detection","year":"2020","author":"Ramchand","key":"ref19"},{"key":"ref20","article-title":"Temporal convolutional networks and dynamic time warping can drastically improve the early prediction of sepsis","author":"Moor","year":"2019","journal-title":"arXiv preprint arXiv:1902.01659"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0211057"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101820"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"article-title":"Self-supervised learning is more robust to dataset imbalance","volume-title":"in International Conference on Learning Representations","author":"Liu","key":"ref25"},{"key":"ref26","article-title":"The consequences of the framing of machine learning risk prediction models: evaluation of sepsis in general wards","author":"Lauritsen","year":"2021","journal-title":"arXiv preprint arXiv:2101.10790"},{"key":"ref27","first-page":"1174","article-title":"Learning to detect sepsis with a multitask gaussian process rnn classifier","volume-title":"in International Conference on Machine Learning. PMLR","author":"Futoma"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.08.015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1097\/ccm.0000000000002936"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2894570"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SIEDS.2015.7116970"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.04.027"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2021.2626"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020963"},{"key":"ref35","article-title":"Multi-subset approach to early sepsis prediction","author":"Ewig","year":"2023","journal-title":"arXiv preprint arXiv:2304.06384"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocw112"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-8176-8232-3"},{"article-title":"Certifying some distributional robustness with principled adversarial training","volume-title":"6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30-May 3, 2018, Conference Track Proceedings. OpenReview.net","author":"Sinha","key":"ref42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.51445"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.0287"},{"key":"ref45","article-title":"Hospital acquired infections","author":"Monegro","year":"2020","journal-title":"StatPearls [Internet]"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/bf01709751"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.36.5.801"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000000324"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0262523"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2023,12,15]]},"location":"Sorrento, Italy","end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386180.pdf?arnumber=10386180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T01:44:09Z","timestamp":1706751849000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386180\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386180","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}