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Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models.
Onozato Y, Iwata T, Uematsu Y, Shimizu D, Yamamoto T, Matsui Y, Ogawa K, Kuyama J, Sakairi Y, Kawakami E, Iizasa T, Yoshino I. Onozato Y, et al. Among authors: kawakami e. Eur J Nucl Med Mol Imaging. 2023 Feb;50(3):715-726. doi: 10.1007/s00259-022-06038-7. Epub 2022 Nov 17. Eur J Nucl Med Mol Imaging. 2023. PMID: 36385219 Free PMC article.
Predicting dry weight change in Hemodialysis patients using machine learning.
Inoue H, Oya M, Aizawa M, Wagatsuma K, Kamimae M, Kashiwagi Y, Ishii M, Wakabayashi H, Fujii T, Suzuki S, Hattori N, Tatsumoto N, Kawakami E, Asanuma K. Inoue H, et al. Among authors: kawakami e. BMC Nephrol. 2023 Jun 29;24(1):196. doi: 10.1186/s12882-023-03248-5. BMC Nephrol. 2023. PMID: 37386392 Free PMC article.
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: kawakami e. 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.
PSA doubling time 4.65 months as an optimal cut-off of Japanese nonmetastatic castration-resistant prostate cancer.
Sakamoto S, Sato K, Kimura T, Matsui Y, Shiraishi Y, Hashimoto K, Miyake H, Narita S, Miki J, Matsumoto R, Kato T, Saito T, Tomida R, Shiota M, Joraku A, Terada N, Suekane S, Kaneko T, Tatarano S, Yoshio Y, Yoshino T, Nishiyama N, Kawakami E, Ichikawa T, Kitamura H. Sakamoto S, et al. Among authors: kawakami e. Sci Rep. 2024 Jul 3;14(1):15307. doi: 10.1038/s41598-024-65969-3. Sci Rep. 2024. PMID: 38961131 Free PMC article.
327 results