Open AccessLipidomics Prediction of Parkinson’s Disease Severity: A Machine-Learning Analysis
Author(s) -
Hila Avisar,
Cristina GuardiaLaguarta,
Estela AreaGómez,
Matthew Surface,
Amanda Chan,
Boaz Lerner
Publication year - 2021
Publication title -
journal of parkinson's disease/journal of parkinson's disease (online)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.747
H-Index - 45
eISSN - 1877-718X
pISSN - 1877-7171
DOI - 10.3233/jpd-202476
Subject(s) - lipidome , lipidomics , biomarker , disease , parkinson's disease , sphingolipid , medicine , random forest , biology , machine learning , bioinformatics , biochemistry , computer science
The role of the lipidome as a biomarker for Parkinson's disease (PD) is a relatively new field that currently only focuses on PD diagnosis.