{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:10:01Z","timestamp":1755846601948,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T00:00:00Z","timestamp":1665619200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,13]]},"DOI":"10.1145\/3570773.3570795","type":"proceedings-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T15:57:42Z","timestamp":1670601462000},"page":"167-173","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction and Analysis of a Data-Driven T2-SMOTE-GBDT Prediction Model for Vascular Vertigo"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9582-2645","authenticated-orcid":false,"given":"Dengqin","family":"Song","sequence":"first","affiliation":[{"name":"Clinical School of traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6549-6017","authenticated-orcid":false,"given":"Tongqiang","family":"Yi","sequence":"additional","affiliation":[{"name":"Clinical School of Power and Mechanical Engineering, Wuhan Univerisity, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1857-6855","authenticated-orcid":false,"given":"Hongci","family":"Chen","sequence":"additional","affiliation":[{"name":"Clinical School of traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0385-8312","authenticated-orcid":false,"given":"Xiong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Clinical School of Clinical School of traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7811-9867","authenticated-orcid":false,"given":"Huiyun","family":"Pu","sequence":"additional","affiliation":[{"name":"Clinical School of traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0862-6214","authenticated-orcid":false,"given":"Shuangli","family":"Peng","sequence":"additional","affiliation":[{"name":"Clinical School of traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"volume-title":"Classification of Epileptic EEG Signals Based on Frequency Slice Wavelet Transform and Gradient Boosting Decision Tree[J]","year":"2019","key":"e_1_3_2_1_1_1","unstructured":"Xindi L I , Chen W . Classification of Epileptic EEG Signals Based on Frequency Slice Wavelet Transform and Gradient Boosting Decision Tree[J]. Journal of Jilin University(Information Science Edition), 2019."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/NRL.0b013e3181f09742"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3233\/VES-210169"},{"key":"e_1_3_2_1_4_1","volume-title":"Clinical prediction models: diagnosis versus prognosis[J]. Journal of clinical epidemiology","author":"SMEDEN M","year":"2021","unstructured":"van SMEDEN M, REITSMA J B, RILEY R D, Clinical prediction models: diagnosis versus prognosis[J]. Journal of clinical epidemiology, 2021, 132: 142-145."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooab107"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.2147\/NDT.S255717"},{"volume-title":"Risk prediction and key influence factors analysis of acute kidney injury in inpatients","year":"2019","key":"e_1_3_2_1_7_1","unstructured":"Zhang Q,Guo S ,Liang X , Risk prediction and key influence factors analysis of acute kidney injury in inpatients. 2019."},{"volume-title":"Li Baoyun Research on dimension reduction and classification of hyperspectral images based on LDA and elm [J] Journal of electronic measurement and instrumentation","year":"2020","key":"e_1_3_2_1_8_1","unstructured":"Yang Mingli, fan Yugang, Li Baoyun Research on dimension reduction and classification of hyperspectral images based on LDA and elm [J] Journal of electronic measurement and instrumentation, 2020, 32 (5): 7"}],"event":{"name":"ISAIMS 2022: 2022 3rd International Symposium on Artificial Intelligence for Medicine Sciences","acronym":"ISAIMS 2022","location":"Amsterdam Netherlands"},"container-title":["Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570773.3570795","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3570773.3570795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:50:19Z","timestamp":1755845419000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3570773.3570795"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,13]]},"references-count":8,"alternative-id":["10.1145\/3570773.3570795","10.1145\/3570773"],"URL":"https:\/\/doi.org\/10.1145\/3570773.3570795","relation":{},"subject":[],"published":{"date-parts":[[2022,10,13]]},"assertion":[{"value":"2022-12-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}