Predicting Orthopedic Surgery Types Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Predicting Orthopedic Surgery Types Using Convolutional Neural Networks

Published:2024-03-16 Issue: Volume: Page:243-247
ISSN:
Container-title:2024 9th International Conference on Big Data Analytics (ICBDA)
language:
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Author:

Wang Li-Ling¹,Hsu Chin-Hao²,Tsai Tan-Yun¹,Huang Li³,Shih Po-Chou¹

Affiliation:

1. National Yunlin University of Science and Technology,Department of Industrial Engineering and Management,Douliou,Taiwan

2. Ditmanson Medical Foundation Chia-Yi Christian Hospital,Division of Plastic and Reconstruction Surgery,Department of Surgery,Chiayi,Taiwan

3. Economics and Management school, Panzhihua University,Panzhihua,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607152/10607161/10607201.pdf?arnumber=10607201

Reference17 articles.

1. Unlocking cost savings hidden in hospital tier contracts

2. Decreasing the Hours That Anesthesiologists and Nurse Anesthetists Work Late by Making Decisions to Reduce the Hours of Over-Utilized Operating Room Time

3. A Model of Cost Reduction and Standardization

4. Deep convolutional neural network based medical image classification for disease diagnosis

5. Dermatologist-level classification of skin cancer with deep neural networks

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