{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:47:12Z","timestamp":1750308432031,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":3,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,7]],"date-time":"2022-08-07T00:00:00Z","timestamp":1659830400000},"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":[[2022,8,7]]},"DOI":"10.1145\/3535508.3545103","type":"proceedings-article","created":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T22:26:03Z","timestamp":1659047163000},"page":"1-1","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AT[N]-net"],"prefix":"10.1145","author":[{"given":"Jingwen","family":"Zhang","sequence":"first","affiliation":[{"name":"Wake Forest University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enze","family":"Xu","sequence":"additional","affiliation":[{"name":"Wake Forest University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minghan","family":"Chen","sequence":"additional","affiliation":[{"name":"Wake Forest University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,8,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(09)70299-6"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2013.12.003"},{"key":"e_1_3_2_1_3_1","first-page":"5767","volume-title":"Proceedings of the 37th International Conference on Machine Learning","author":"Lee C.","year":"2020","unstructured":"C. Lee and M. V. D. Schaar , \"Temporal Phenotyping using Deep Predictive Clustering of Disease Progression,\" in Proceedings of the 37th International Conference on Machine Learning , Nov. 2020 , pp. 5767 -- 5777 . C. Lee and M. V. D. Schaar, \"Temporal Phenotyping using Deep Predictive Clustering of Disease Progression,\" in Proceedings of the 37th International Conference on Machine Learning, Nov. 2020, pp. 5767--5777."}],"event":{"name":"BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","sponsor":["SIGBIOM ACM Special Interest Group on Biomedical Computing"],"location":"Northbrook Illinois","acronym":"BCB '22"},"container-title":["Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3535508.3545103","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3535508.3545103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:47Z","timestamp":1750268987000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3535508.3545103"}},"subtitle":["multimodal spatiotemporal network for subtype identification in Alzheimer's disease"],"short-title":[],"issued":{"date-parts":[[2022,8,7]]},"references-count":3,"alternative-id":["10.1145\/3535508.3545103","10.1145\/3535508"],"URL":"https:\/\/doi.org\/10.1145\/3535508.3545103","relation":{},"subject":[],"published":{"date-parts":[[2022,8,7]]},"assertion":[{"value":"2022-08-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}