Synergic deep learning based preoperative metric prediction and patient oriented payment model for total hip arthroplasty-Reference-Cited by-同舟云学术

Synergic deep learning based preoperative metric prediction and patient oriented payment model for total hip arthroplasty

Published:2020-07-13 Issue:6 Volume:12 Page:6515-6525
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Muthusamy Sundar Prakash Balaji,Raju Jayabharathy,Ashwin M.,Ravi Renjith V.,Prabaker M. Lordwin Cecil,Subramaniam Kamalraj

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02266-7.pdf

Reference18 articles.

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2. Bini SA (2018) Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? J Arthroplasty 33:2358–2361

3. Bradley AE (1145e) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn 30:1145e59

4. Collins FS, Varmus H (2015) A new initiative on precision medicine. N Engl J Med 372:793–795

5. Jo S, Park SB, Kim MJ, Kim T, Park KI, Sung J et al (2016) Comparison of balance, proprioception and skeletal muscle mass in total hip replacement patients with and without fracture: a pilot study. Ann Rehabil Med 40:1064–1070

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