Prediction of medical expenses for gastric cancer based on process mining-Reference-Cited by-同舟云学术

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Prediction of medical expenses for gastric cancer based on process mining

Published:2020-02-21 Issue:15 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Cao Yongzhong¹^ORCID,Guo Yalu¹^ORCID,She Qiang²,Zhu Junwu¹^ORCID,Li Bin¹

Affiliation:

1. College of Information Engineering Yangzhou University Jiangsu China

2. Department of Gastroenterology Affiliated Hospital of Yangzhou University Jiangsu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5694

Reference21 articles.

1. A process-mining framework for the detection of healthcare fraud and abuse

2. Low illumination underwater light field images reconstruction using deep convolutional neural networks

3. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

4. Heterogeneous Information Network-Based Content Caching in the Internet of Vehicles

5. Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning

Cited by 5 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. Discovery of medical pathways considering complications;Computers and Electrical Engineering;2023-03

2. Process Mining for Social and Economic Needs;Advances in Human and Social Aspects of Technology;2023-02-03

3. An integrated model for medical expense system optimization during diagnosis process based on artificial intelligence algorithm;Journal of Combinatorial Optimization;2021-06-26

4. Retrospective Study on the Influencing Factors and Prediction of Hospitalization Expenses for Chronic Renal Failure in China Based on Random Forest and LASSO Regression;Frontiers in Public Health;2021-06-15

5. A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention‐DenseNet;Concurrency and Computation: Practice and Experience;2021-03-18

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