{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T10:54:20Z","timestamp":1783335260843,"version":"3.54.6"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003645","name":"National Cancer Center","doi-asserted-by":"publisher","award":["2010380-2"],"award-info":[{"award-number":["2010380-2"]}],"id":[{"id":"10.13039\/501100003645","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003645","name":"National Cancer Center","doi-asserted-by":"publisher","award":["2210410-1"],"award-info":[{"award-number":["2210410-1"]}],"id":[{"id":"10.13039\/501100003645","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korea Health Technology Research and Development Project through the Korea Health Industry Development Institute"},{"name":"Ministry of Health and Welfare, Republic of Korea","award":["HR20C0026"],"award-info":[{"award-number":["HR20C0026"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tnnls.2023.3273187","type":"journal-article","created":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T14:43:37Z","timestamp":1684853017000},"page":"13887-13901","source":"Crossref","is-referenced-by-count":10,"title":["Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4866-8395","authenticated-orcid":false,"given":"Eugene","family":"Hwang","sequence":"first","affiliation":[{"name":"School of Management Engineering, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3752-2211","authenticated-orcid":false,"given":"Yong-Seok","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Pain Medicine, Biosignal Analysis and Perioperative Outcome Research Laboratory, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-Young","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Pain Medicine, Biosignal Analysis and Perioperative Outcome Research Laboratory, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6970-735X","authenticated-orcid":false,"given":"Sung-Hyuk","family":"Park","sequence":"additional","affiliation":[{"name":"School of Management Engineering, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4278-3491","authenticated-orcid":false,"given":"Junetae","family":"Kim","sequence":"additional","affiliation":[{"name":"Graduate School of Cancer Science and Policy and the Healthcare AI Team, National Cancer Center, Goyang, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5215-7585","authenticated-orcid":false,"given":"Sung-Hoon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Pain Medicine, Biosignal Analysis and Perioperative Outcome Research Laboratory, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000000756"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1213\/ANE.0000000000005250"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10877-011-9328-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0307-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2020.12.035"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000002300"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s22093108"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.2196\/31311"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1213\/ane.0000000000004539"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.surg.2020.09.041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000003557"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01461-z"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2790388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/cc3891"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3145365"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0231172"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1097\/aln.0000000000002374"},{"key":"ref18","article-title":"What do we need to build explainable AI systems for the medical domain?","author":"Holzinger","year":"2017","journal-title":"arXiv:1712.09923"},{"key":"ref19","first-page":"4211","article-title":"How can I explain this to you? An empirical study of deep neural network explanation methods","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Jeyakumar"},{"key":"ref20","article-title":"Individual explanations in machine learning models: A survey for practitioners","author":"Carrillo","year":"2021","journal-title":"arXiv:2104.04144"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027314"},{"key":"ref22","first-page":"6","article-title":"The role of context in the prediction of acute hypotension in critical care","volume-title":"Proc. Symp. Artif. Intell. Learn. Health Syst. (SAIL)","volume":"10","author":"Prasad"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-96727-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103584"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367541"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1883612.1883613"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3008938"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/78.482020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF02834988"},{"issue":"1","key":"ref30","first-page":"6","article-title":"Performance analysis of FIR filter design by using optimal, Blackman window and frequency sampling methods","volume":"10","author":"Alam","year":"2010","journal-title":"Int. J. Electr. Comput. Sci."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/STA.2013.6783144"},{"key":"ref32","article-title":"Deep learning without weight transport","author":"Akrout","year":"2019","journal-title":"arXiv:1904.05391"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3083401"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3187741"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3007259"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.091"},{"key":"ref37","first-page":"1","article-title":"Are sixteen heads really better than one?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Michel"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-20062-4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICEDIF.2015.7280200"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.09280620"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.7763\/ijmlc.2013.v3.307"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSNT47585.2019.8962457"},{"key":"ref44","article-title":"Quantifying statistical significance of neural network-based image segmentation by selective inference","author":"Duy","year":"2020","journal-title":"arXiv:2010.01823"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(66)90115-6"},{"key":"ref46","volume-title":"Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation","author":"Czepiel","year":"2002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1097\/01.CHI.0000046896.27264.0F"},{"key":"ref48","first-page":"1","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref49","volume-title":"Slundberg\/Shap","author":"Lundberg","year":"2022"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2016.12.001"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1186\/s13613-016-0216-7"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.162.1.9903035"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.2136"},{"issue":"52","key":"ref54","doi-asserted-by":"crossref","first-page":"145","DOI":"10.2307\/621706","article-title":"The assumptions of the linear regression model","volume":"52","author":"Poole","year":"1971","journal-title":"Trans. Inst. Brit. Geographers"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1001\/jama.289.15.1969"},{"key":"ref56","article-title":"Explainable artificial intelligence (XAI) on timeseries data: A survey","author":"Rojat","year":"2021","journal-title":"arXiv:2104.00950"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00106"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/noz095"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2007.06.006"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.46.2.186.11926"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/app9235135"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2753.2004.00551.x"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s11747-019-00710-5"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103473"},{"key":"ref65","volume-title":"Diffusion of Innovations","author":"Rogers","year":"1995"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895604"},{"key":"ref67","first-page":"1","article-title":"DTWNet: A dynamic time warping network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Cai"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2900046"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10707065\/10130807.pdf?arnumber=10130807","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T20:50:46Z","timestamp":1733863846000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10130807\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":68,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3273187","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.21748085.v1","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21748085.v3","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21748085","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.21748085.v2","asserted-by":"object"}]},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}