Federated learning for multi-omics: A performance evaluation in Parkinson’s disease-Reference-Cited by-同舟云学术

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Federated learning for multi-omics: A performance evaluation in Parkinson’s disease

Published:2024-03 Issue:3 Volume:5 Page:100945
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Danek Benjamin P.^ORCID,Makarious Mary B.,Dadu Anant,Vitale Dan,Lee Paul Suhwan,Singleton Andrew B.,Nalls Mike A.,Sun Jimeng,Faghri Faraz^ORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Reference53 articles.

1. Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts;Dadu;NPJ Parkinsons Dis.,2022

2. High-Accuracy Detection of Early Parkinson’s Disease through Multimodal Features and Machine Learning;Prashanth;Int. J. Med. Inf.,2016

3. A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics;Pantaleo;Genes,2022

4. Application of machine learning analysis based on diffusion tensor imaging to identify REM sleep behavior disorder;Lee;Sleep Breath.,2022

5. Strategic vision for improving human health at The Forefront of Genomics;Green;Nature,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Techniques for Parkinson's Disease Prediction and Progression: A Comprehensive Review;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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