{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:34:34Z","timestamp":1773930874869,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T00:00:00Z","timestamp":1539734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1553411, IIS-1747614"],"award-info":[{"award-number":["IIS-1553411, IIS-1747614"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,17]]},"DOI":"10.1145\/3269206.3271701","type":"proceedings-article","created":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T12:08:27Z","timestamp":1540210107000},"page":"743-752","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":178,"title":["KAME"],"prefix":"10.1145","author":[{"given":"Fenglong","family":"Ma","sequence":"first","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY, USA"}]},{"given":"Quanzeng","family":"You","sequence":"additional","affiliation":[{"name":"Microsoft AI & Research, Redmond, WA, USA"}]},{"given":"Houping","family":"Xiao","sequence":"additional","affiliation":[{"name":"Georgia State University, Atlanta, GA, USA"}]},{"given":"Radha","family":"Chitta","sequence":"additional","affiliation":[{"name":"Kira Systems, Toronto, ON, Canada"}]},{"given":"Jing","family":"Zhou","sequence":"additional","affiliation":[{"name":"eHealth Inc., Mountain View, CA, USA"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, NY, USA"}]}],"member":"320","published-online":{"date-parts":[[2018,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR'15)","author":"Ba Jimmy","year":"2015","unstructured":"Jimmy Ba , Volodymyr Mnih , and Koray Kavukcuoglu . 2015 . Multiple Object Recognition with Visual Attention . Proceedings of the 3rd International Conference on Learning Representations (ICLR'15) . Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu. 2015. Multiple Object Recognition with Visual Attention. Proceedings of the 3rd International Conference on Learning Representations (ICLR'15) ."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR'15)","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In Proceedings of the 3rd International Conference on Learning Representations (ICLR'15) . Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In Proceedings of the 3rd International Conference on Learning Representations (ICLR'15) ."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097997"},{"key":"e_1_3_2_1_4_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems (NIPS'13). 2787--2795.   Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems (NIPS'13). 2787--2795."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783365"},{"key":"e_1_3_2_1_6_1","volume-title":"Recurrent Neural Networks for Multivariate Time Series with Missing Values. arXiv preprint arXiv:1606.01865","author":"Che Zhengping","year":"2016","unstructured":"Zhengping Che , Sanjay Purushotham , Kyunghyun Cho , David Sontag , and Yan Liu . 2016. Recurrent Neural Networks for Multivariate Time Series with Missing Values. arXiv preprint arXiv:1606.01865 ( 2016 ). Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu. 2016. Recurrent Neural Networks for Multivariate Time Series with Missing Values. arXiv preprint arXiv:1606.01865 (2016)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.49"},{"key":"e_1_3_2_1_8_1","volume-title":"Dzmitry Bahdanau, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Dzmitry Bahdanau, and Yoshua Bengio. 2014 . On the Properties of Neural Machine Translation: Encoder-Decoder Approaches . arXiv preprint arXiv:1409.1259 (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. arXiv preprint arXiv:1409.1259 (2014)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939823"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"e_1_3_2_1_11_1","volume-title":"Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart.","author":"Choi Edward","year":"2016","unstructured":"Edward Choi , Mohammad Taha Bahadori , Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart. 2016 . RETAIN : An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. In Advances in Neural Information Processing Systems (NIPS '16). 3504--3512. Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart. 2016. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. In Advances in Neural Information Processing Systems (NIPS'16). 3504--3512."},{"key":"e_1_3_2_1_12_1","unstructured":"Jan K. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho and Yoshua Bengio. 2015. Attention-based Models for Speech Recognition. In Advances in Neural Information Processing Systems (NIPS'15). 577--585.   Jan K. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho and Yoshua Bengio. 2015. Attention-based Models for Speech Recognition. In Advances in Neural Information Processing Systems (NIPS'15). 577--585."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_15_1","unstructured":"Karl Moritz Hermann Tomas Kocisky Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman and Phil Blunsom. 2015. Teaching Machines to Read and Comprehend. In Advances in Neural Information Processing Systems (NIPS'15). 1693--1701.   Karl Moritz Hermann Tomas Kocisky Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman and Phil Blunsom. 2015. Teaching Machines to Read and Comprehend. In Advances in Neural Information Processing Systems (NIPS'15). 1693--1701."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556225"},{"key":"e_1_3_2_1_18_1","volume-title":"Ying Zhang, Saizheng Zhang, Aaron C. Courville, and Yoshua Bengio.","author":"Lamb Alex M.","year":"2016","unstructured":"Alex M. Lamb , Anirudh Goyal ALIAS PARTH GOYAL , Ying Zhang, Saizheng Zhang, Aaron C. Courville, and Yoshua Bengio. 2016 . Professor Forcing : A New Algorithm for Training Recurrent Networks. In Advances In Neural Information Processing Systems (NIPS '16). 4601--4609. Alex M. Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang, Saizheng Zhang, Aaron C. Courville, and Yoshua Bengio. 2016. Professor Forcing: A New Algorithm for Training Recurrent Networks. In Advances In Neural Information Processing Systems (NIPS'16). 4601--4609."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Learning Representations (ICLR'16)","author":"Lipton Zachary C.","year":"2015","unstructured":"Zachary C. Lipton , David C. Kale , Charles Elkan , and Randall Wetzell . 2015 . Learning to Diagnose with LSTM Recurrent Neural Networks . In International Conference on Learning Representations (ICLR'16) . Zachary C. Lipton, David C. Kale, Charles Elkan, and Randall Wetzell. 2015. Learning to Diagnose with LSTM Recurrent Neural Networks. In International Conference on Learning Representations (ICLR'16)."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of Machine Learning for Healthcare (MLHC'16)","author":"Lipton Zachary C.","year":"2016","unstructured":"Zachary C. Lipton , David C. Kale , and Randall Wetzel . 2016 . Modeling Missing Data in Clinical Time Series with RNNs . In Proceedings of Machine Learning for Healthcare (MLHC'16) . Zachary C. Lipton, David C. Kale, and Randall Wetzel. 2016. Modeling Missing Data in Clinical Time Series with RNNs. In Proceedings of Machine Learning for Healthcare (MLHC'16)."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP'15)","author":"Luong Minh-Thang","unstructured":"Minh-Thang Luong , Hieu Pham , and Christopher D. Manning . 2015. Effective Approaches to Attention-based Neural Machine Translation . In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP'15) . 1412--1421. Minh-Thang Luong, Hieu Pham, and Christopher D. Manning. 2015. Effective Approaches to Attention-based Neural Machine Translation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP'15). 1412--1421."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220020"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098129"},{"key":"e_1_3_2_1_26_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of Machine Learning Research , Vol. 9 , Nov (2008), 2579 -- 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research, Vol. 9, Nov (2008), 2579--2605.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_27_1","volume-title":"Dudley","author":"Miotto Riccardo","year":"2017","unstructured":"Riccardo Miotto , Fei Wang , Shuang Wang , Xiaoqian Jiang , and Joel T . Dudley . 2017 . Deep Learning for Healthcare: Review, Opportunities and Challenges. Briefings in Bioinformatics ( 2017), bbx044. Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, and Joel T. Dudley. 2017. Deep Learning for Healthcare: Review, Opportunities and Challenges. Briefings in Bioinformatics (2017), bbx044."},{"key":"e_1_3_2_1_28_1","volume-title":"Deepr: A Convolutional Net for Medical Records","author":"Nguyen Phuoc","year":"2016","unstructured":"Phuoc Nguyen , Truyen Tran , Nilmini Wickramasinghe , and Svetha Venkatesh . 2016 . Deepr: A Convolutional Net for Medical Records . IEEE Journal of Biomedical and Health Informatics ( 2016). Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, and Svetha Venkatesh. 2016. Deepr: A Convolutional Net for Medical Records. IEEE Journal of Biomedical and Health Informatics (2016)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31750-2_3"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Alvin Rajkomar Eyal Oren Andrew M. Dai Kai Chen Nissan Hajaj Peter J. Liu Xiaobing Liu Mimi Sun Patrik Sundberg Hector Yee Kun Zhang Gavin E. Duggan Gerardo Flores Michaela Hardt Jamie Irvine Quoc Le Kurt Litsch Jake Marcus Alexander Mossin Justin Tansuwanand De Wang James Wexler Jimbo Wilson Dana Ludwig Samuel L. Volchenboum Katherine Chou Michael Pearson Srinivasan Madabushi Nigam H. Shah Atul J. Butte Michael Howell Claire Cui Greg Corrado and Jeff Dean. 2018. Scalable and accurate deep learning for electronic health records. arXiv preprint arXiv:1801.07860 (2018).  Alvin Rajkomar Eyal Oren Andrew M. Dai Kai Chen Nissan Hajaj Peter J. Liu Xiaobing Liu Mimi Sun Patrik Sundberg Hector Yee Kun Zhang Gavin E. Duggan Gerardo Flores Michaela Hardt Jamie Irvine Quoc Le Kurt Litsch Jake Marcus Alexander Mossin Justin Tansuwanand De Wang James Wexler Jimbo Wilson Dana Ludwig Samuel L. Volchenboum Katherine Chou Michael Pearson Srinivasan Madabushi Nigam H. Shah Atul J. Butte Michael Howell Claire Cui Greg Corrado and Jeff Dean. 2018. Scalable and accurate deep learning for electronic health records. arXiv preprint arXiv:1801.07860 (2018).","DOI":"10.1038\/s41746-018-0029-1"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the AMIA 2017 Annual Symposium (AMIA'17)","author":"Suo Qiuling","year":"2017","unstructured":"Qiuling Suo , Fenglong Ma , Giovanni Canino , Jing Gao , Aidong Zhang , Pierangelo Veltri , and Agostino Gnasso . 2017 . A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks . In Proceedings of the AMIA 2017 Annual Symposium (AMIA'17) . Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, and Agostino Gnasso. 2017. A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. In Proceedings of the AMIA 2017 Annual Symposium (AMIA'17) ."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217759"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2018.2837622"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_37_1","volume-title":"Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint arXiv:1605.02688","author":"Development Team The Theano","year":"2016","unstructured":"The Theano Development Team . 2016 . Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint arXiv:1605.02688 (2016). The Theano Development Team. 2016. Theano: A Python framework for fast computation of mathematical expressions. arXiv preprint arXiv:1605.02688 (2016)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the 32nd International Conference on Machine Learning (ICML'15)","author":"Xu Kelvin","year":"2015","unstructured":"Kelvin Xu , Jimmy Ba , Ryan Kiros , Kyunghyun Cho , Aaron Courville , Ruslan Salakhutdinov , Richard S. Zemel , and Yoshua Bengio . 2015 . Show, Attend and Tell: Neural Image Caption Generation with Visual Attention . In Proceedings of the 32nd International Conference on Machine Learning (ICML'15) . 2048--2057. Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard S. Zemel, and Yoshua Bengio. 2015. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. In Proceedings of the 32nd International Conference on Machine Learning (ICML'15). 2048--2057."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.503"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333405"},{"key":"e_1_3_2_1_42_1","volume-title":"ADADELTA: An Adaptive Learning Rate Method. arXiv preprint arXiv:1212.5701","author":"Zeiler Matthew D.","year":"2012","unstructured":"Matthew D. Zeiler . 2012 . ADADELTA: An Adaptive Learning Rate Method. arXiv preprint arXiv:1212.5701 (2012). Matthew D. Zeiler. 2012. ADADELTA: An Adaptive Learning Rate Method. arXiv preprint arXiv:1212.5701 (2012)."},{"key":"e_1_3_2_1_43_1","volume-title":"Xing","author":"Zhang Shiyue","year":"2017","unstructured":"Shiyue Zhang , Pengtao Xie , Dong Wang , and Eric P . Xing . 2017 . Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning . arXiv preprint arXiv:1711.04329 (2017). Shiyue Zhang, Pengtao Xie, Dong Wang, and Eric P. Xing. 2017. Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning. arXiv preprint arXiv:1711.04329 (2017)."}],"event":{"name":"CIKM '18: The 27th ACM International Conference on Information and Knowledge Management","location":"Torino Italy","acronym":"CIKM '18","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 27th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3269206.3271701","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3269206.3271701","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3269206.3271701","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:44:28Z","timestamp":1750207468000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3269206.3271701"}},"subtitle":["Knowledge-based Attention Model for Diagnosis Prediction in Healthcare"],"short-title":[],"issued":{"date-parts":[[2018,10,17]]},"references-count":43,"alternative-id":["10.1145\/3269206.3271701","10.1145\/3269206"],"URL":"https:\/\/doi.org\/10.1145\/3269206.3271701","relation":{},"subject":[],"published":{"date-parts":[[2018,10,17]]},"assertion":[{"value":"2018-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}