Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go Tests-Reference-Cited by-同舟云学术

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Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go Tests

Published:2019-10 Issue:10 Volume:34 Page:2267-2271
ISSN:0883-5403
Container-title:The Journal of Arthroplasty
language:en
Short-container-title:The Journal of Arthroplasty

Author:

Bloomfield Riley A.,Williams Harley A.,Broberg Jordan S.,Lanting Brent A.,McIsaac Kenneth A.,Teeter Matthew G.

Funder

Arthritis Society and an Ontario Early Researcher Award

CIHR New Investigator Award

Publisher

Elsevier BV

Subject

Orthopedics and Sports Medicine

Reference20 articles.

1. Outcomes of total hip and knee replacement: preoperative functional status predicts outcomes at six months after surgery;Fortin;Arthritis Rheum,1999

2. Preoperative function and gender predict pattern of functional recovery after hip and knee arthroplasty;Kennedy;J Arthroplasty,2006

3. Is postoperative function after hip or knee arthroplasty influenced by preoperative functional levels?;Lavernia;J Arthroplasty,2009

4. Early patient-reported outcomes versus objective function after total hip and knee arthroplasty;Luna;Bone Joint J,2017

5. Individual characteristics associated with mismatches between self-reported and accelerometer-measured physical activity;Tully;PLoS One,2014

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