{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T21:14:46Z","timestamp":1790630086929,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004083","name":"Ministry of Science ICT and Future Planning","doi-asserted-by":"publisher","award":["2014-0-00147"],"award-info":[{"award-number":["2014-0-00147"]}],"id":[{"id":"10.13039\/501100004083","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01GM118609, R21LM012060"],"award-info":[{"award-number":["R01GM118609, R21LM012060"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2016R1E1A1A01942642"],"award-info":[{"award-number":["2016R1E1A1A01942642"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098118","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"887-895","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":104,"title":["Federated Tensor Factorization for Computational Phenotyping"],"prefix":"10.1145","author":[{"given":"Yejin","family":"Kim","sequence":"first","affiliation":[{"name":"Pohang University of Science and Technology & University of California, San Diego, Pohang, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimeng","family":"Sun","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hwanjo","family":"Yu","sequence":"additional","affiliation":[{"name":"Pohang University of Science and Technology, Pohang, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqian","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of California, San Diego, La Jolla, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.hlpt.2012.03.001"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02310791"},{"key":"e_1_3_2_1_4_1","first-page":"189","volume-title":"Proceedings of the American Medical Informatics Association Annual Symposium","author":"Carroll R. J.","year":"2011","unstructured":"R. J. Carroll , A. E. Eyler , and J. C. Denny . Na\"\u0131ve electronic health record phenotype identification for rheumatoid arthritis . Proceedings of the American Medical Informatics Association Annual Symposium , pages 189 -- 196 , Jan. 2011 . R. J. Carroll, A. E. Eyler, and J. C. Denny. Na\"\u0131ve electronic health record phenotype identification for rheumatoid arthritis. Proceedings of the American Medical Informatics Association Annual Symposium, pages 189--196, Jan. 2011."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000583"},{"key":"e_1_3_2_1_6_1","volume-title":"July","author":"Chaudhuri K.","year":"2011","unstructured":"K. Chaudhuri , C. Monteleoni , and A. Sarwate . Differentially Private Empirical Risk Minimization. Journal of Machine Learning Research (JMLR), 12:1069--1109 , July 2011 . K. Chaudhuri, C. Monteleoni, and A. Sarwate. Differentially Private Empirical Risk Minimization. Journal of Machine Learning Research (JMLR), 12:1069--1109, July 2011."},{"key":"e_1_3_2_1_7_1","first-page":"1296","volume-title":"Advances in Neural Information Processing Systems","author":"Choi J. H.","year":"2014","unstructured":"J. H. Choi and S. Vishwanathan . Dfacto: Distributed factorization of tensors . In Advances in Neural Information Processing Systems , pages 1296 -- 1304 , 2014 . J. H. Choi and S. Vishwanathan. Dfacto: Distributed factorization of tensors. In Advances in Neural Information Processing Systems, pages 1296--1304, 2014."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2000.0070288"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853551"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"e_1_3_2_1_11_1","volume-title":"AMIA Annual Symposium Proceedings","author":"Ebadollahi S.","year":"2010","unstructured":"S. Ebadollahi , J. Sun , D. Gotz , J. Hu , D. Sow , and C. Neti . Predicting patient's trajectory of physiological data using temporal trends in similar patients: A system for near-term prognostics . AMIA Annual Symposium Proceedings , 2010: 192--196, 2010 . PMID: 21346967. S. Ebadollahi, J. Sun, D. Gotz, J. Hu, D. Sow, and C. Neti. Predicting patient's trajectory of physiological data using temporal trends in similar patients: A system for near-term prognostics. AMIA Annual Symposium Proceedings, 2010:192--196, 2010. PMID: 21346967."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2483852.2483859"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.07.001"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623658"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1137\/140990309"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339583"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Y. Kim J. Sun H. Yu and X. Jiang. Federated Tensor Factorization for Computational Phenotyping. http:\/\/dm.postech.ac.kr\/trip 2016.  Y. Kim J. Sun H. Yu and X. Jiang. Federated Tensor Factorization for Computational Phenotyping. http:\/\/dm.postech.ac.kr\/trip 2016.","DOI":"10.1145\/3097983.3098118"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.21236\/ADA457144"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(01)00077-X"},{"key":"e_1_3_2_1_20_1","volume-title":"Naval research logistics quarterly, 2(1--2):83--97","author":"Kuhn H. W.","year":"1955","unstructured":"H. W. Kuhn . The hungarian method for the assignment problem. Naval research logistics quarterly, 2(1--2):83--97 , 1955 . H. W. Kuhn. The hungarian method for the assignment problem. Naval research logistics quarterly, 2(1--2):83--97, 1955."},{"key":"e_1_3_2_1_21_1","volume-title":"Sept.","author":"Ledley R. S.","year":"1991","unstructured":"R. S. Ledley and L. B. Lusted . Reasoning foundations of medical diagnosis. M.D. computing : computers in medical practice, 8(5):300--315 , Sept. 1991 . R. S. Ledley and L. B. Lusted. Reasoning foundations of medical diagnosis. M.D. computing : computers in medical practice, 8(5):300--315, Sept. 1991."},{"key":"e_1_3_2_1_22_1","volume-title":"Vertical grid logistic regression (vertigo). Journal of the American Medical Informatics Association, page ocv146","author":"Li Y.","year":"2015","unstructured":"Y. Li , X. Jiang , S. Wang , H. Xiong , and L. Ohno-Machado . Vertical grid logistic regression (vertigo). Journal of the American Medical Informatics Association, page ocv146 , 2015 . Y. Li, X. Jiang, S. Wang, H. Xiong, and L. Ohno-Machado. Vertical grid logistic regression (vertigo). Journal of the American Medical Informatics Association, page ocv146, 2015."},{"key":"e_1_3_2_1_23_1","first-page":"612","volume-title":"Advances in neural information processing systems","author":"Lin Z.","year":"2011","unstructured":"Z. Lin , R. Liu , and Z. Su . Linearized alternating direction method with adaptive penalty for low-rank representation . In Advances in neural information processing systems , pages 612 -- 620 , 2011 . Z. Lin, R. Liu, and Z. Su. Linearized alternating direction method with adaptive penalty for low-rank representation. In Advances in neural information processing systems, pages 612--620, 2011."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2009.000893"},{"key":"e_1_3_2_1_25_1","volume-title":"Technical Approaches for Protecting Privacy in the PCORnet Distributed Research","author":"PCORnet Data Privacy Task Force","year":"2015","unstructured":"PCORnet Data Privacy Task Force . Technical Approaches for Protecting Privacy in the PCORnet Distributed Research , 2015 . PCORnet Data Privacy Task Force. Technical Approaches for Protecting Privacy in the PCORnet Distributed Research, 2015."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0b013e31820a92c6"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0073-7"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783395"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","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 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098118","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:26Z","timestamp":1750217426000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098118"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":28,"alternative-id":["10.1145\/3097983.3098118","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098118","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}