Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty-Reference-Cited by-同舟云学术

Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty

Published:2021-07-18 Issue: Volume: Page:
ISSN:0736-0266
Container-title:Journal of Orthopaedic Research
language:en
Short-container-title:J Orthop Res

Author:

Katakam Akhil¹²^ORCID,Karhade Aditya V.¹,Collins Austin¹,Shin David¹,Bragdon Charles¹,Chen Antonia F.³^ORCID,Melnic Christopher M.¹²,Schwab Joseph H.¹,Bedair Hany S.¹²

Affiliation:

1. Department of Orthopaedic Surgery, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA

2. Department of Orthopaedic Surgery Newton‐Wellesley Hospital Newton Massachusetts USA

3. Department of Orthopaedic Surgery, Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA

Publisher

Wiley

Subject

Orthopedics and Sports Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jor.25125

Reference22 articles.

1. Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

2. Development of machine learning algorithms to predict clinically meaningful improvement for the patient‐reported health state after total hip arthroplasty;Kunze KN;J Arthroplasty,2020

3. Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

4. Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion

5. Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models

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