{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T01:13:19Z","timestamp":1755825199884,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Zhejiang Gongshang University Digital+ Disciplinary Construction Management Project","award":["SZJ2022B001"],"award-info":[{"award-number":["SZJ2022B001"]}]},{"DOI":"10.13039\/501100006374","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LQ23F020007"],"award-info":[{"award-number":["LQ23F020007"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.6230071268"],"award-info":[{"award-number":["No.6230071268"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589335.3651457","type":"proceedings-article","created":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T18:41:21Z","timestamp":1715539281000},"page":"1166-1169","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3526-6859","authenticated-orcid":false,"given":"Yanchao","family":"Tan","sequence":"first","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8100-2787","authenticated-orcid":false,"given":"Hengyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5213-7350","authenticated-orcid":false,"given":"Zihao","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9076-7250","authenticated-orcid":false,"given":"Guofang","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer Science, Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0953-6923","authenticated-orcid":false,"given":"Fan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4115-7667","authenticated-orcid":false,"given":"Weiming","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8257-2381","authenticated-orcid":false,"given":"Xinting","family":"Liao","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8834-4363","authenticated-orcid":false,"given":"Vicki S","family":"Hertzberg","sequence":"additional","affiliation":[{"name":"Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9145-4531","authenticated-orcid":false,"given":"Carl","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219904"},{"key":"e_1_3_2_2_2_1","first-page":"1045","volume-title":"International Conference on Machine Learning","author":"Bose J.","year":"2020","unstructured":"J. Bose, A. Smofsky, R. Liao, P. Panangaden, and W. Hamilton. Latent variable modelling with hyperbolic normalizing flows. In International Conference on Machine Learning, pages 1045--1055. PMLR, 2020."},{"key":"e_1_3_2_2_3_1","volume-title":"NeurIPS","author":"Chen R. T.","year":"2018","unstructured":"R. T. Chen, Y. Rubanova, J. Bettencourt, and D. Duvenaud. Neural ordinary differential equations. In NeurIPS, 2018."},{"key":"e_1_3_2_2_4_1","volume-title":"NeurIPS","author":"Choi E.","year":"2016","unstructured":"E. Choi, M. T. Bahadori, J. A. Kulas, A. Schuetz, W. F. Stewart, and J. Sun. Retain: An interpretable predictive model for healthcare using reverse time attention mechanism. In NeurIPS, 2016."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"e_1_3_2_2_6_1","volume-title":"Mimic-iii, a freely accessible critical care database. Scientific data","author":"Johnson A. E.","year":"2016","unstructured":"A. E. Johnson, T. J. Pollard, L. Shen, H. L. Li-Wei, M. Feng, M. Ghassemi, B. Moody, P. Szolovits, L. A. Celi, and R. G. Mark. Mimic-iii, a freely accessible critical care database. Scientific data, 2016."},{"key":"e_1_3_2_2_7_1","volume-title":"NeurIPS","author":"Kingma D. P.","year":"2015","unstructured":"D. P. Kingma, T. Salimans, and M. Welling. Variational dropout and the local reparameterization trick. NeurIPS, 2015."},{"key":"e_1_3_2_2_8_1","first-page":"6936","article-title":"Exchangeable neural ode for set modeling","volume":"33","author":"Li Y.","year":"2020","unstructured":"Y. Li, H. Yi, C. Bender, S. Shan, and J. B. Oliva. Exchangeable neural ode for set modeling. NeurIPS, 33:6936--6946, 2020.","journal-title":"NeurIPS"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20380"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/486"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403107"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271701"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5428"},{"key":"e_1_3_2_2_15_1","volume-title":"NeurIPS","author":"Qian Z.","year":"2021","unstructured":"Z. Qian, W. R. Zame, M. van der Schaar, L. M. Fleuren, and P. Elbers. Integrating expert odes into neural odes: Pharmacology and disease progression. In NeurIPS, 2021."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM58522.2023.00173"},{"key":"e_1_3_2_2_17_1","volume-title":"Attention is all you need. Advances in neural information processing systems, 30","author":"Vaswani A.","year":"2017","unstructured":"A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, ?. Kaiser, and I. Polosukhin. Attention is all you need. Advances in neural information processing systems, 30, 2017."},{"key":"e_1_3_2_2_18_1","first-page":"3349","volume-title":"WWW","author":"Wang Z.","year":"2021","unstructured":"Z. Wang, R. Wen, X. Chen, S. Cao, S.-L. Huang, B. Qian, and Y. Zheng. Online disease diagnosis with inductive heterogeneous graph convolutional networks. In WWW, pages 3349--3358, 2021."},{"key":"e_1_3_2_2_19_1","volume-title":"WWW","author":"Ye M.","year":"2021","unstructured":"M. Ye, S. Cui, Y. Wang, J. Luo, C. Xiao, and F. Ma. Medpath: Augmenting health risk prediction via medical knowledge paths. In WWW, 2021."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403337"},{"key":"e_1_3_2_2_21_1","volume-title":"WWW","author":"Zhou F.","year":"2019","unstructured":"F. Zhou, Z.Wen, K. Zhang, G. Trajcevski, and T. Zhong. Variational session-based recommendation using normalizing flows. In WWW, 2019."}],"event":{"name":"WWW '24: The ACM Web Conference 2024","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Singapore Singapore","acronym":"WWW '24"},"container-title":["Companion Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3651457","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589335.3651457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:33:23Z","timestamp":1755822803000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3651457"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":21,"alternative-id":["10.1145\/3589335.3651457","10.1145\/3589335"],"URL":"https:\/\/doi.org\/10.1145\/3589335.3651457","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}