Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding.

Eiryo KawakamiNaomi KobayashiYuichiro IchiharaTetsuo IshikawaHyonmin ChoeAkito TomoyamaYutaka Inaba

Published in: Archives of orthopaedic and trauma surgery (2023)

Although there was overlap between PJI and non-PJI, we were able to identify subgroups of PJI in the UMAP embedding. The machine-learning-based analytical approach is promising in consecutive monitoring of diseases such as PJI with a low incidence and long-term course.

Keyphrases

machine learning
artificial intelligence
big data
risk factors
deep learning
convolutional neural network
mass spectrometry