{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T16:44:24Z","timestamp":1781628264310,"version":"3.54.5"},"reference-count":13,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8]]},"DOI":"10.1109\/embc.2016.7591352","type":"proceedings-article","created":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T16:57:43Z","timestamp":1476982663000},"page":"2966-2969","source":"Crossref","is-referenced-by-count":19,"title":["Deep neural network architectures for forecasting analgesic response"],"prefix":"10.1109","author":[{"given":"Paul","family":"Nickerson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Tighe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Shickel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parisa","family":"Rashidi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/882085.882086"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.174"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref13","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1097\/ALN.0b013e31819f7aea","article-title":"Postoperative urinary retention anesthetic and perioperative considerations","volume":"110","author":"baldini","year":"2009","journal-title":"Amer Soc Anesth"},{"key":"ref3","article-title":"Deep learning","author":"bengio","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref5","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/608359"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11999-013-3389-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/pme.12760"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1213\/01.ANE.0000068822.10113.9E"},{"key":"ref9","article-title":"Markov chain evaluation of acute postoperative pain transition states","author":"tighe","year":"2015","journal-title":"Pain"}],"event":{"name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","location":"Orlando, FL, USA","start":{"date-parts":[[2016,8,16]]},"end":{"date-parts":[[2016,8,20]]}},"container-title":["2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7580725\/7590615\/07591352.pdf?arnumber=7591352","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T17:32:57Z","timestamp":1568482377000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7591352\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/embc.2016.7591352","relation":{},"subject":[],"published":{"date-parts":[[2016,8]]}}}