Utilizing machine learning and lipidomics to distinguish primary lateral sclerosis from amyotrophic lateral sclerosis.

Ikjae LeeJeanette A StingoneRobin Barry ChanHiroshi Mitsumoto

Published in: Muscle & nerve (2023)

Our study suggests PLS patients can be accurately distinguished from ALS and CTR by combining lipidome profile and supervised machine learning without clinical information.

Keyphrases

machine learning
amyotrophic lateral sclerosis
end stage renal disease
artificial intelligence
newly diagnosed
chronic kidney disease
big data
prognostic factors
healthcare
deep learning
patient reported outcomes
social media