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Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study.
Iwagami M, Inokuchi R, Kawakami E, Yamada T, Goto A, Kuno T, Hashimoto Y, Michihata N, Goto T, Shinozaki T, Sun Y, Taniguchi Y, Komiyama J, Uda K, Abe T, Tamiya N. Iwagami M, et al. Among authors: yamada t. PLOS Digit Health. 2024 Aug 20;3(8):e0000578. doi: 10.1371/journal.pdig.0000578. eCollection 2024 Aug. PLOS Digit Health. 2024. PMID: 39163277 Free PMC article.
Myocardial infarction in type 2 diabetes using sodium-glucose co-transporter-2 inhibitors, dipeptidyl peptidase-4 inhibitors or glucagon-like peptide-1 receptor agonists: proportional hazards analysis by deep neural network based machine learning.
Yamada T, Iwasaki K, Maedera S, Ito K, Takeshima T, Noma H, Shojima N. Yamada T, et al. Curr Med Res Opin. 2020 Mar;36(3):403-409. doi: 10.1080/03007995.2019.1706043. Epub 2020 Jan 6. Curr Med Res Opin. 2020. PMID: 31855074
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