{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T16:41:12Z","timestamp":1771519272441,"version":"3.50.1"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004410","name":"The Scientific and Technological Research Council of Turkey (TUBITAK)","doi-asserted-by":"publisher","award":["120E173"],"award-info":[{"award-number":["120E173"]}],"id":[{"id":"10.13039\/501100004410","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,13]]},"DOI":"10.1109\/cibcb49929.2021.9562819","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T04:00:25Z","timestamp":1634702425000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions"],"prefix":"10.1109","author":[{"given":"Batuhan","family":"Bardak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2174\/1386207003331454"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1803294115"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/0951484817696212"},{"key":"ref32","first-page":"425","article-title":"Improving length of stay prediction using a hidden markov model","volume":"2019","author":"sotoodeh","year":"0","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.10.313"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2017.10.002"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.tips.2019.06.004"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.04.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3368555.3384469"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0103-9"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1993.03510240069035"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-198108000-00008"},{"key":"ref29","author":"vincent","year":"1996","journal-title":"The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction\/failure"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.023"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2019.02.002"},{"key":"ref20","author":"honda","year":"2019","journal-title":"SMILES Transformer Pre-trained Molecular Fingerprint for Low Data Drug Discovery"},{"key":"ref22","first-page":"3504","article-title":"Retain: An interpretable predictive model for healthcare using reverse time attention mechanism","volume":"29","author":"choi","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref21","first-page":"301","article-title":"Doctor ai: Predicting clinical events via recurrent neural networks","author":"choi","year":"0","journal-title":"Machine Learning for Healthcare Conference"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2011.17.4.232"},{"key":"ref23","author":"lipton","year":"2015","journal-title":"Learning to diagnose with LSTM recurrent neural networks"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/jpm2040138"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(96)90609-1"},{"key":"ref50","author":"chung","year":"2014","journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref52","author":"kim","year":"2014","journal-title":"Convolutional neural networks for sentence classification"},{"key":"ref10","article-title":"Attend and diagnose: Clinical time series analysis using attention models","author":"song","year":"0","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219930"},{"key":"ref40","author":"gilmer","year":"2017","journal-title":"Neural message passing for quantum chemistry"},{"key":"ref12","author":"jin","year":"2018","journal-title":"Improving hospital mortality prediction with medical named entities and multimodal learning"},{"key":"ref13","author":"khadanga","year":"0","journal-title":"Using clinical notes with time series data for icu management"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102112"},{"key":"ref15","first-page":"1","article-title":"Prediction of mortality and length of stay with deep learning","author":"bardak","year":"0","journal-title":"2021 29th Signal Processing and Communications Applications Conference (SIU)"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2016.35","article-title":"Mimic-iii, a freely accessible critical care database","volume":"3","author":"johnson","year":"2016","journal-title":"Scientific Data"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"821i","DOI":"10.1093\/bioinformatics\/bty593","article-title":"Deepdta: deep drug-target binding affinity prediction","volume":"34","author":"\u00f6zturk","year":"2018","journal-title":"Bioinformatics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00237"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1021\/ci100050t"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"5262","DOI":"10.3390\/app10155262","article-title":"A comparison of deep learning methods for icd coding of clinical records","volume":"10","author":"moons","year":"2020","journal-title":"Applied Sciences"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m958"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2009.001560"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1055\/s-0038-1638592","article-title":"Extracting information from textual documents in the electronic health record: a review of recent research","volume":"17","author":"meystre","year":"2008","journal-title":"Yearbook of Medical Informatics"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1378\/chest.126.6.1905"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2012.2210211"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref9","first-page":"83","article-title":"Assessment of severity of illness","author":"russell","year":"2015","journal-title":"Hall JB Schmidt GA Kress JP Principles of Critical Care"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1021\/ci00057a005"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/S1574-1400(08)00012-1"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.108.058301"},{"key":"ref47","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","volume":"28","author":"duvenaud","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref42","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref41","author":"devlin","year":"2018","journal-title":"BERT Pre-training of deep bidirectional transformers for language understanding"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3307339.3342186"},{"key":"ref43","author":"chithrananda","year":"2020","journal-title":"Chemberta Large-scale self-supervised pretraining for molecular property prediction"}],"event":{"name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","location":"Melbourne, Australia","start":{"date-parts":[[2021,10,13]]},"end":{"date-parts":[[2021,10,15]]}},"container-title":["2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9562742\/9562772\/09562819.pdf?arnumber=9562819","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:24Z","timestamp":1652197644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9562819\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,13]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/cibcb49929.2021.9562819","relation":{},"subject":[],"published":{"date-parts":[[2021,10,13]]}}}