Personalized analysis of pain-weather associations: a pilot study.

Gábor Tuboly Gyongyi Horvath Kamilla Nagy Edit Nagy

Published in: Ideggyogyaszati szemle (2024)

<p style="text-align: justify;">The present study highlights the importance of integrating different data analysis approaches to elucidate the individual connections between pain and most of the weather parameters. In conclusion, complex personalized profiling should be considered for the characterization of pain–weather associations by applying different data analytical approaches, which may provide feedback to physicians and patients. </p>.

Keyphrases

data analysis
chronic pain
pain management
neuropathic pain
end stage renal disease
primary care
ejection fraction
chronic kidney disease
big data
liquid chromatography
deep learning
postoperative pain