{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T04:05:27Z","timestamp":1747800327939,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/healthcom.2017.8210801","type":"proceedings-article","created":{"date-parts":[[2017,12,18]],"date-time":"2017-12-18T23:20:40Z","timestamp":1513639240000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Short-term forecasting of hospital discharge volume based on time series analysis"],"prefix":"10.1109","author":[{"given":"Li","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueru","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jialing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenwu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3844\/jmssp.2011.20.27"},{"key":"ref11","article-title":"Prediction of Hospital Discharged Patients with Time Series Model[J]","author":"hong-tao","year":"2009","journal-title":"Hospital Administration Journal of Chinese People's Liberation Army"},{"key":"ref12","first-page":"1","article-title":"Time Series Approaches for Forecasting the Number of Hospital Daily Discharged Inpatients. [J]","volume":"99","author":"zhu","year":"2015","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INNOVATIONS.2014.6987559"},{"key":"ref14","first-page":"127","article-title":"Predicting bed demand in a hospital using neural networks and ARIMA models: A hybrid approach[C]\/\/","author":"joy","year":"2005","journal-title":"ESANN 2005 Proc Eur Symp Artificial Neural Networks"},{"key":"ref15","first-page":"127","article-title":"Predicting bed demand in a hospital using neural networks and ARIMA models: A hybrid approach[C]\/\/","author":"joy","year":"2005","journal-title":"ESANN 2005 Proc Eur Symp Artificial Neural Networks"},{"key":"ref16","article-title":"Time series driven simulation and data mining to monitor hospital patient flow[J]","author":"raja","year":"2015","journal-title":"Dissertations & Theses – Gradworks"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2016.01.002"},{"key":"ref18","first-page":"261a","article-title":"Abstract 261: Predicting Inpatient Hospital Length of Stay for Acute Health Failure Patients[J]","volume":"3","author":"park","year":"2013","journal-title":"Circ Cardiovasc Qual Outcomes"},{"key":"ref19","article-title":"Design of service systems with priority reservation","author":"faulhaber","year":"0","journal-title":"Conf Rec 1995 IEEE Int Conf Communications"},{"key":"ref4","first-page":"287","volume":"18","author":"xu","year":"2017","journal-title":"Real-time road traffic state prediction based on ARIMA and Kalman filter[J]"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2017.01.084"},{"key":"ref6","article-title":"Application research of seasonal combined forecasting model in hospital outpatient amount[J]","author":"ming-quan","year":"2005","journal-title":"Computer Engineering & Design"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00702-0"},{"key":"ref8","article-title":"Cardiac catheterization laboratory inpatient forecast tool: a prospective evaluation. [J]","volume":"23","author":"toerper","year":"2015","journal-title":"Journal of the American Medical Informatics Association Jamia"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3109\/23256176.2013.798456"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"818","DOI":"10.37358\/RC.17.4.5559","article-title":"A Complex Analysis Employing ARIMA Model and Statistical Methods on Air Pollutants Recorded in Ploiesti, Romania[J]","volume":"68","author":"pohoata","year":"2017","journal-title":"Revista de Chimie"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/1331677X.2017.1314822"},{"key":"ref9","article-title":"Series Analysis by ARIMA Modeling to Forecast Amount of Inpatient[J]","author":"time","year":"2007","journal-title":"Hospital Administration Journal of Chinese People's Liberation Army"}],"event":{"name":"2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom)","start":{"date-parts":[[2017,10,12]]},"location":"Dalian","end":{"date-parts":[[2017,10,15]]}},"container-title":["2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8169616\/8210752\/08210801.pdf?arnumber=8210801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T01:22:57Z","timestamp":1693358577000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8210801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/healthcom.2017.8210801","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}