{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T11:30:04Z","timestamp":1783423804409,"version":"3.54.6"},"reference-count":34,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Institute of Information &amp; Communications Technology Planning &amp; Evaluation"},{"name":"Ministry of Science"},{"name":"ICT of the Korea Government"},{"name":"Artificial Intelligence Convergence Innovation Human Resources Development","award":["IITP-2024-RS-2023-00255968"],"award-info":[{"award-number":["IITP-2024-RS-2023-00255968"]}]},{"name":"Artificial Intelligence Convergence Innovation Human Resources Development","award":["2021-0-02068"],"award-info":[{"award-number":["2021-0-02068"]}]},{"name":"Artificial Intelligence Innovation Hub"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korea government","award":["NRF-2022R1A2C1007434"],"award-info":[{"award-number":["NRF-2022R1A2C1007434"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/jbhi.2024.3403109","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T17:27:45Z","timestamp":1716226065000},"page":"5718-5728","source":"Crossref","is-referenced-by-count":9,"title":["Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2805-7063","authenticated-orcid":false,"given":"Jeong-Hyeon","family":"Moon","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Ajou University, Suwon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7226-1643","authenticated-orcid":false,"given":"Garam","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2543-0408","authenticated-orcid":false,"given":"Seung Mi","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9130-940X","authenticated-orcid":false,"given":"Jiho","family":"Ryu","sequence":"additional","affiliation":[{"name":"Department of Software and Computer Engineering, Ajou University, Suwon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4592-9564","authenticated-orcid":false,"given":"Dokyoon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology &amp; Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8941-1188","authenticated-orcid":false,"given":"Kyung-Ah","family":"Sohn","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Ajou University, Suwon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14172"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000000756"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000002654"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000001432"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000000765"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1213\/ANE.0000000000001283"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2018.01.033"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0b013e3182a10e26"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2018.04.036"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.0592"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9030723"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200211-1360CC"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000000922"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0000000000002300"},{"key":"ref15","first-page":"3022","article-title":"Fourier spectrum discrepancies in deep network generated images","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Dzanic","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0304-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(18)30300-X"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2021.10.052"},{"key":"ref19","first-page":"3247","article-title":"Leveraging frequency analysis for deep fake image recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Frank","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-20062-4"},{"key":"ref21","first-page":"255","article-title":"A fourier perspective on model robustness in computer vision","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"32","author":"Yin","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107398"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1213\/ane.0b013e318192a36b"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.bja.2020.12.035"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref26","article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2021"},{"key":"ref27","article-title":"MEMTO: Memory-guided transformer for multivariate time series anomaly detection","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"36","author":"Song","year":"2024"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref30","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE50027.2020.00112"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18052364"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1097\/aln.0000000000002374"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2345\/0899-8205(2007)41[403:CAPCOU]2.0.CO;2"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10704792\/10535187.pdf?arnumber=10535187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T04:16:50Z","timestamp":1728015410000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10535187\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":34,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3403109","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}