{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:51Z","timestamp":1750220451715,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T00:00:00Z","timestamp":1607472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Key R&D Program of China","award":["2019YFE0190500"],"award-info":[{"award-number":["2019YFE0190500"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,12,9]]},"DOI":"10.1145\/3448823.3448872","type":"proceedings-article","created":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T11:33:39Z","timestamp":1614857619000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Medicine Recommendation System For Diabetes Using Prior Medical Knowledge"],"prefix":"10.1145","author":[{"given":"Mulubrhan Ayalew","family":"Wedagu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Dehua","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Muhammad Ather Iqbal","family":"Hussain","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Tsegay","family":"Gebremeskel","sequence":"additional","affiliation":[{"name":"School of Computing Technology, Aksum University, Axum, Ethiopia"}]},{"given":"Mayugi Tanguy","family":"Orlando","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Donghua University, Shanghai, China"}]},{"given":"Arslan","family":"Manzoor","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Donghua University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2021,3,4]]},"reference":[{"issue":"328","key":"e_1_3_2_1_1_1","first-page":"1","article-title":"Mortality in the United States, 2017","author":"Murphy S. L.","year":"2018","unstructured":"S. L. Murphy , J. Xu , K. D. Kochanek , and E. Arias , \" Mortality in the United States, 2017 ,\" NCHS Data Brief , no. 328 , pp. 1 -- 8 , 2018 . S. L. Murphy, J. Xu, K. D. Kochanek, and E. Arias, \"Mortality in the United States, 2017,\" NCHS Data Brief, no. 328, pp. 1--8, 2018.","journal-title":"NCHS Data Brief"},{"key":"e_1_3_2_1_2_1","first-page":"533","volume-title":"no. September","author":"Crane V. S.","year":"2002","unstructured":"V. S. Crane , \"Medication Errors and Adverse Drug Events Prevention,\" Encycl. Clin. Pharm. , no. September , pp. 533 -- 544 , 2002 . V. S. Crane, \"Medication Errors and Adverse Drug Events Prevention,\" Encycl. Clin. Pharm., no. September, pp. 533--544, 2002."},{"key":"e_1_3_2_1_3_1","volume-title":"Safe Medicine Recommendation via Medical Knowledge Graph Embedding","author":"Wang M.","year":"2017","unstructured":"M. Wang , M. Liu , J. Liu , S. Wang , G. Long , and B. Qian , \" Safe Medicine Recommendation via Medical Knowledge Graph Embedding ,\" 2017 . M. Wang, M. Liu, J. Liu, S. Wang, G. Long, and B. Qian, \"Safe Medicine Recommendation via Medical Knowledge Graph Embedding,\" 2017."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.05.041"},{"key":"e_1_3_2_1_5_1","first-page":"56","volume-title":"Sci. Electron. Eng. Conf. CEEC 2018 - Proc.","author":"Mohammed H. A.","year":"2019","unstructured":"H. A. Mohammed and H. Hagras , \" Towards Developing Type 2 Fuzzy Logic Diet Recommendation System for Diabetes,\" 2018 10th Comput . Sci. Electron. Eng. Conf. CEEC 2018 - Proc. , pp. 56 -- 59 , 2019 . H. A. Mohammed and H. Hagras, \"Towards Developing Type 2 Fuzzy Logic Diet Recommendation System for Diabetes,\" 2018 10th Comput. Sci. Electron. Eng. Conf. CEEC 2018 - Proc., pp. 56--59, 2019."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2882138"},{"key":"e_1_3_2_1_7_1","first-page":"1383","volume-title":"2016 IEEE 11th Conf. Ind. Electron. Appl. ICIEA, 2016","author":"Bao Y.","year":"2016","unstructured":"Y. Bao and X. Jiang , \" An intelligent medicine recommender system framework,\" Proc . 2016 IEEE 11th Conf. Ind. Electron. Appl. ICIEA, 2016 , no. I, pp. 1383 -- 1388 , 2016 . Y. Bao and X. Jiang, \"An intelligent medicine recommender system framework,\" Proc. 2016 IEEE 11th Conf. Ind. Electron. Appl. ICIEA, 2016, no. I, pp. 1383--1388, 2016."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.09.061"},{"key":"e_1_3_2_1_9_1","first-page":"1910","volume-title":"ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.","author":"Ma F.","year":"2018","unstructured":"F. Ma , Q. You , J. Gao , J. Zhou , Q. Suo , and A. Zhang , \" Risk prediction on electronic health records with prior medical knowledge,\" Proc . ACM SIGKDD Int. Conf. Knowl. Discov. Data Min. , pp. 1910 -- 1919 , 2018 . F. Ma, Q. You, J. Gao, J. Zhou, Q. Suo, and A. Zhang, \"Risk prediction on electronic health records with prior medical knowledge,\" Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min., pp. 1910--1919, 2018."},{"key":"e_1_3_2_1_10_1","first-page":"55","volume-title":"August","author":"Xiao L.","year":"2019","unstructured":"L. Xiao , C. Zheng , X. Fan , Y. Xie , and R. Yu , \" Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge Prediction Module,\" no . August , pp. 55 -- 59 , 2019 . L. Xiao, C. Zheng, X. Fan, Y. Xie, and R. Yu, \"Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge Prediction Module,\" no. August, pp. 55--59, 2019."},{"key":"e_1_3_2_1_11_1","first-page":"10","volume-title":"K = _ I _ = _ I _ eMax Inm","author":"Review L.","year":"2011","unstructured":"L. Review , M. Criteria , and D. Making , \" K = _ I _ = _ I _ eMax Inm ,\" pp. 10 -- 13 , 2011 . L. Review, M. Criteria, and D. Making, \"K = _ I _ = _ I _ eMax Inm,\" pp. 10--13, 2011."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.2994780"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968537"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.04.001"},{"key":"e_1_3_2_1_15_1","first-page":"3512","article-title":"RETAIN An interpretable predictive model for healthcare using reverse time attention mechanism","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 ,\" Adv. Neural Inf. Process. Syst., no. Nips , pp. 3512 -- 3520 , 2016 . 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,\" Adv. Neural Inf. Process. Syst., no. Nips, pp. 3512--3520, 2016.","journal-title":"Nips"},{"key":"e_1_3_2_1_16_1","volume-title":"Jt. Conf. Artif. Intell.","volume":"5959","author":"Shang J.","year":"2019","unstructured":"J. Shang , T. Ma , C. Xiao , and J. Sun , \" Pre-training of graph augmented transformers for medication recommendation,\" IJCAI Int . Jt. Conf. Artif. Intell. , vol. 2019-August, pp. 5953-- 5959 , 2019 . J. Shang, T. Ma, C. Xiao, and J. Sun, \"Pre-training of graph augmented transformers for medication recommendation,\" IJCAI Int. Jt. Conf. Artif. Intell., vol. 2019-August, pp. 5953--5959, 2019."}],"event":{"name":"ICVISP 2020: 2020 4th International Conference on Vision, Image and Signal Processing","acronym":"ICVISP 2020","location":"Bangkok Thailand"},"container-title":["Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448823.3448872","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448823.3448872","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:54Z","timestamp":1750193274000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448823.3448872"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,9]]},"references-count":16,"alternative-id":["10.1145\/3448823.3448872","10.1145\/3448823"],"URL":"https:\/\/doi.org\/10.1145\/3448823.3448872","relation":{},"subject":[],"published":{"date-parts":[[2020,12,9]]},"assertion":[{"value":"2021-03-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}