Federated learning for predicting clinical outcomes in patients with COVID-19
2021 · Nature Medicine · 665 citations
https://doi.org/10.1038/s41591-021-01506-3
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Shuichi Kawano
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Shuichi Kawano is an academic researcher. The author has contributed to research in topics: Statistical Methods and Inference & Advanced Statistical Methods and Models & Bayesian Methods and Mixture Models. The author has an h-index of 24, co-authored 130 publications.
ORCID: 0000-0002-0804-0141Papers by this author
worksSparse principal component regression for generalized linear models
2018 · Computational Statistics & Data Analysis · 32 citations
https://doi.org/10.1016/j.csda.2018.03.008
Identification of a herpes simplex virus 1 gene encoding neurovirulence factor by chemical proteomics
2020 · Nature Communications · 27 citations
https://doi.org/10.1038/s41467-020-18718-9
Sparse principal component regression via singular value decomposition approach
2021 · Advances in Data Analysis and Classification · 1 citations
https://doi.org/10.1007/s11634-020-00435-2
65 (PB053): Effect of tasurgratinib as an orally available FGFR1-3 inhibitor on resistance to a CDK4/6 inhibitor and endocrine therapy in ER(+)/HER2 (-) breast cancer preclinical models
2024 · European Journal of Cancer · 0 citations
https://doi.org/10.1016/j.ejca.2024.114592
Structural grouping of extreme value models via graph fused lasso
2026 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2602.15291
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