{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T02:27:07Z","timestamp":1781144827508,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:00:00Z","timestamp":1724457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National High Level Hospital Clinical Research Funding","award":["No.2022-PUMCH-C-041"],"award-info":[{"award-number":["No.2022-PUMCH-C-041"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No.2021ZD0140407"],"award-info":[{"award-number":["No.2021ZD0140407"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Natural Science Foundation","award":["No.7222313"],"award-info":[{"award-number":["No.7222313"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,25]]},"DOI":"10.1145\/3637528.3671974","type":"proceedings-article","created":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T04:55:12Z","timestamp":1724561712000},"page":"3610-3620","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8773-2789","authenticated-orcid":false,"given":"Muhao","family":"Xu","sequence":"first","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7315-3276","authenticated-orcid":false,"given":"Zhenfeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9326-9863","authenticated-orcid":false,"given":"Youru","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8560-8135","authenticated-orcid":false,"given":"Shuai","family":"Zheng","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8352-0092","authenticated-orcid":false,"given":"Yawei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3335-5700","authenticated-orcid":false,"given":"Kunlun","family":"He","sequence":"additional","affiliation":[{"name":"Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8581-9554","authenticated-orcid":false,"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University & Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,8,24]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3175456"},{"key":"e_1_3_2_2_2_1","volume-title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. In ICLR'22","author":"Bardes Adrien","year":"2022","unstructured":"Adrien Bardes, Jean Ponce, and Yann LeCun. 2022. VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. In ICLR'22."},{"key":"e_1_3_2_2_3_1","volume-title":"ICLR'21","author":"Dosovitskiy Alexey","year":"2021","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In ICLR'21."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocac168"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0103-9"},{"key":"e_1_3_2_2_6_1","volume-title":"MLHC'22","author":"Hayat Nasir","year":"2022","unstructured":"Nasir Hayat, Krzysztof J Geras, and Farah E Shamout. 2022. MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. In MLHC'22. 479--503."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00147"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3327951"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"e_1_3_2_2_10_1","volume-title":"Leo Anthony Celi, and Roger Mark","author":"Johnson Alistair","year":"2020","unstructured":"Alistair Johnson, Lucas Bulgarelli, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark. 2020. Mimic-iv. PhysioNet. Available online at: https:\/\/physionet. org\/content\/mimiciv\/1.0\/(accessed August 23, 2021) (2020)."},{"key":"e_1_3_2_2_11_1","volume-title":"Leo Anthony Celi, and Roger Mark","author":"Johnson Alistair","year":"2023","unstructured":"Alistair Johnson, Tom Pollard, Steven Horng, Leo Anthony Celi, and Roger Mark. 2023. MIMIC-IV-Note: Deidentified free-text clinical notes."},{"key":"e_1_3_2_2_12_1","volume-title":"a large publicly available database of labeled chest radiographs. arXiv preprint arXiv:1901.07042","author":"Johnson Alistair EW","year":"2019","unstructured":"Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng. 2019. MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs. arXiv preprint arXiv:1901.07042 (2019)."},{"key":"e_1_3_2_2_13_1","volume-title":"MLHC'19","author":"Kyono Trent","year":"2019","unstructured":"Trent Kyono, Fiona J Gilbert, and Mihaela Schaar. 2019. Multi-view multi-task learning for improving autonomous mammogram diagnosis. In MLHC'19. 571--591."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"e_1_3_2_2_15_1","volume-title":"Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. In MLHC'23","author":"Lee Kwanhyung","year":"2023","unstructured":"Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, and Joohyung Lee. 2023. Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. In MLHC'23. 423--442."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6331"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00474-9"},{"key":"e_1_3_2_2_18_1","volume-title":"AMIA Annual Symposium Proceedings","volume":"2020","author":"Liu Luchen","year":"2020","unstructured":"Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yipiing Song, and Ming Zhang. 2020. Multi-task learning via adaptation to similar tasks for mortality prediction of diverse rare diseases. In AMIA Annual Symposium Proceedings, Vol. 2020. 763."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3217810"},{"key":"e_1_3_2_2_20_1","volume-title":"Multi-Task Deep Neural Networks for Natural Language Understanding. In ACL'19","author":"Liu Xiaodong","year":"2019","unstructured":"Xiaodong Liu, Pengcheng He, Weizhu Chen, and Jianfeng Gao. 2019. Multi-Task Deep Neural Networks for Natural Language Understanding. In ACL'19. 4487--4496."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5428"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01764"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102895"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00455-y"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101795"},{"key":"e_1_3_2_2_26_1","volume-title":"ICLR'17","author":"Shazeer Noam","year":"2017","unstructured":"Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean. 2017. Outrageously large neural networks: The sparsely-gated mixture-of-experts layer. In ICLR'17."},{"key":"e_1_3_2_2_27_1","first-page":"779","article-title":"Deep patient representation of clinical notes via multi-task learning for mortality prediction","volume":"2019","author":"Si Yuqi","year":"2019","unstructured":"Yuqi Si and Kirk Roberts. 2019. Deep patient representation of clinical notes via multi-task learning for mortality prediction. AMIA Summits on Translational Science Proceedings, Vol. 2019 (2019), 779.","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-022-00689-4"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219930"},{"key":"e_1_3_2_2_30_1","unstructured":"Vinitra Swamy Malika Satayeva Jibril Frej Thierry Bossy Thijs Vogels Martin Jaggi Tanja K\u00e4ser and Mary-Anne Hartley. 2023. MultiModN-Multimodal Multi-Task Interpretable Modular Networks. In NeurIPS'23."},{"key":"e_1_3_2_2_31_1","first-page":"2071","article-title":"Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks","volume":"27","author":"Tang Siyi","year":"2023","unstructured":"Siyi Tang, Amara Tariq, Jared A Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L Rubin, Bhavik N Patel, and Imon Banerjee. 2023. Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks. IEEE Journal of Biomedical and Health Informatics, Vol. 27, 4 (2023), 2071--2082.","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"e_1_3_2_2_32_1","volume-title":"Cooperative dual medical ontology representation learning for clinical assisted decision-making. Computers in Biology and Medicine","author":"Xu Muhao","year":"2023","unstructured":"Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Linfeng Li, Haiyan Wu, and Yao Zhao. 2023. Cooperative dual medical ontology representation learning for clinical assisted decision-making. Computers in Biology and Medicine (2023), 107138."},{"key":"e_1_3_2_2_33_1","volume-title":"RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction","author":"Xu Muhao","year":"2024","unstructured":"Muhao Xu, Zhenfeng Zhu, Yawei Zhao, Kunlun He, Qinghua Huang, and Yao Zhao. 2024. RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction. IEEE\/ACM Transactions on Computational Biology and Bioinformatics (2024), 1--12."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/547"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3181780"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2916667"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539388"},{"key":"e_1_3_2_2_38_1","volume-title":"ICML'23","author":"Zhang Xinlu","year":"2023","unstructured":"Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, and Linda Ruth Petzold. 2023. Improving medical predictions by irregular multimodal electronic health records modeling. In ICML'23. 41300--41313."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.66"},{"key":"e_1_3_2_2_40_1","volume-title":"UniMed: Multimodal Multitask Learning for Medical Predictions. In BIBM'22","author":"Zhao Xiongjun","year":"2022","unstructured":"Xiongjun Zhao, Xiang Wang, Fenglei Yu, Jiandong Shang, and Shaoliang Peng. 2022. UniMed: Multimodal Multitask Learning for Medical Predictions. In BIBM'22. 1399--1404."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3159264"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-023-01045-x"}],"event":{"name":"KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Barcelona Spain","acronym":"KDD '24","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671974","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3637528.3671974","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:05Z","timestamp":1750291565000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3671974"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,24]]},"references-count":42,"alternative-id":["10.1145\/3637528.3671974","10.1145\/3637528"],"URL":"https:\/\/doi.org\/10.1145\/3637528.3671974","relation":{},"subject":[],"published":{"date-parts":[[2024,8,24]]},"assertion":[{"value":"2024-08-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}