OEHR: An Orthopedic Electronic Health Record Dataset
Author:
Affiliation:
1. School of Informatics, Institute of AI, Xiamen University, Xiamen, China
2. School of Informatics, Xiamen University, Xiamen, China
3. Xiamen University, Affiliated Southeast Hospital, Zhangzhou, China
Funder
Central Guidance on Local Science and Technology
Natural Science Foundation of Fujian Province of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657885
Reference48 articles.
1. Ian Alexander. 2007. Electronic medical records for the orthopaedic practice. Clinical orthopaedics and related research 457 114--9. https://api.semanticscholar.org/CorpusID:24896288.
2. Khalid Alghatani Nariman Ammar Abdelmounaam Rezgui Arash Shaban-Nejad et al. 2021. Predicting intensive care unit length of stay and mortality using patient vital signs: machine learning model development and validation. JMIR medical informatics 9 5 e21347.
3. Belal Alsinglawi Osama Alshari Mohammed Alorjani Omar Mubin Fady Alnajjar Mauricio Novoa and Omar Darwish. 2022. An explainable machine learning framework for lung cancer hospital length of stay prediction. Scientific reports 12 1 607.
4. Zhengming Chen Junshi Chen Rory Collins Yu Guo Richard Peto Fan Wu and Liming Li. 2011. China kadoorie biobank of 0.5 million people: survey methods baseline characteristics and long-term follow-up. International journal of epidemiology 40 6 1652--1666.
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