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Predicting Parkinson's Disease Risk Through Protein and Pep..:
, In:
2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
,
Gupta, Kushagra
;
Lamba, Tripti
;
Garg, Neeraj
- p. 662-668 , 2023
Link:
https://doi.org/10.1109/ICCCIS60361.2023.10425287
RT T1
2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
: T1
Predicting Parkinson's Disease Risk Through Protein and Peptide Level Analysis: An Evidence from EDA and Machine Learning Based Approach
UL https://suche.suub.uni-bremen.de/peid=ieee-10425287&Exemplar=1&LAN=DE A1 Gupta, Kushagra A1 Lamba, Tripti A1 Garg, Neeraj YR 2023 K1 Proteins K1 Machine learning algorithms K1 Parkinson's disease K1 Peptides K1 Biomarkers K1 Predictive models K1 Random forests K1 Parkinson's disease (PD) K1 Unified Parkinson's Disease Rating Scale (UPDRS) K1 Exploratory Data Analysis (EDA) K1 Symmetric Mean Absolute Percentage Error (SMAPE) SP 662 OP 668 LK http://dx.doi.org/https://doi.org/10.1109/ICCCIS60361.2023.10425287 DO https://doi.org/10.1109/ICCCIS60361.2023.10425287 SF ELIB - SuUB Bremen
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