Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Emergency Medicine,Internal Medicine
Link
http://link.springer.com/content/pdf/10.1007/s11739-019-02265-3.pdf
Reference30 articles.
1. Lin C-J, Cheng S-J, Shih S-C, Chu C-H, Tjung J-J (2012) Discharge planning. Int J Gerontol 6(4):237–240. https://doi.org/10.1016/j.ijge.2012.05.001
2. Goncalves-Bradley DC, Lannin NA, Clemson LM, Cameron ID, Shepperd S (2016) Discharge planning from hospital. Cochrane Database Syst Rev (1):CD000313. 10.1002/14651858.CD000313.pub5
3. Daghistani T, Elshawi R, Sakr S, Ahmed A, Al-Thwayee A, Al-Mallah M (2019) Predictors of in-hospital length of stay among cardiac patients: a machine learning approach. Int J Cardiol. https://doi.org/10.1016/j.ijcard.2019.01.046
4. Maharlou H, Kalhori S, Shahbazi S, Ravangard R (2018) Predicting length of stay in intensive care units after cardiac surgery: comparison of artificial neural networks and adaptive neuro-fuzzy system. Healthc Inform Res 24(2):109–117
5. Waring J, Marshall F, Bishop S, Sahota O, Walker M, Currie G, Fisher R, Avery T (2014) An ethnographic study of knowledge sharing across the boundaries between care processes, services and organisations: the contributions to 'safe' hospital discharge. Health Serv Deliv Res 2(29):1–160. https://doi.org/10.3310/hsdr02290
Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Translational artificial intelligence-led optimization and realization of estimated discharge with a supportive weekend interprofessional flow team (TAILORED-SWIFT);Internal and Emergency Medicine;2024-06-22
2. Beyond the Bedside: Machine Learning-Guided Length of Stay (LOS) Prediction for Cardiac Patients in Tertiary Care;Healthcare;2024-05-29
3. Models to predict length of stay in the emergency department: a systematic literature review and appraisal;BMC Emergency Medicine;2024-04-04
4. Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study;JMIR Medical Informatics;2023-12-19
5. Surgery’s Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery;Surgery;2023-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3