Dynamic early identification of hip replacement implants with high revision rates. Study based on the NJR data from UK during 2004-2012.

Alexander BegunAlexander J MacGregorDmitri PchejetskiElena Kulinskaya

Published in: PloS one (2020)

Our new algorithm is an efficient method for early detection of poorly performing components in hip replacement surgery. It can also be used for similar tasks of dynamic quality monitoring in healthcare.

Keyphrases

total hip arthroplasty
healthcare
minimally invasive
total knee arthroplasty
machine learning
coronary artery bypass
working memory
deep learning
electronic health record
big data
cross sectional
quality improvement
soft tissue
social media
percutaneous coronary intervention
data analysis
neural network