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Dive into the research topics where Masaki Makino is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Machine learning models for prediction of HF and CKD development in early-stage type 2 diabetes patients
Kanda, E., Suzuki, A., Makino, M., Tsubota, H., Kanemata, S., Shirakawa, K. & Yajima, T., 12-2022, In: Scientific reports. 12, 1, 20012.Research output: Contribution to journal › Article › peer-review
Open Access22 Link opens in a new tab Citations (Scopus) -
Changes in Serum Immunoglobulin G4 Levels in Patients with Newly Diagnosed Graves' Disease
Hiratsuka, I., Yamada, H., Itoh, M., Shibata, M., Takayanagi, T., Makino, M., Sugimura, Y., Hayakawa, N., Hashimoto, S. & Suzuki, A., 31-01-2020, In: Experimental and Clinical Endocrinology and Diabetes. 128, 2, p. 119-124 6 p.Research output: Contribution to journal › Article › peer-review
10 Link opens in a new tab Citations (Scopus) -
Feature set for a prediction model of diabetic kidney disease progression
Ono, M., Katsuki, T., Makino, M., Haida, K., Suzuki, A. & Tokumasu, R., 16-06-2020, Digital Personalized Health and Medicine - Proceedings of MIE 2020. Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H. & Scott, P. (eds.). IOS Press, p. 1289-1290 2 p. (Studies in Health Technology and Informatics; vol. 270).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access3 Link opens in a new tab Citations (Scopus) -
Interpretation method for continuous glucose monitoring with subsequence time-series clustering
Ono, M., Katsuki, T., Makino, M., Haida, K. & Suzuki, A., 16-06-2020, Digital Personalized Health and Medicine - Proceedings of MIE 2020. Pape-Haugaard, L. B., Lovis, C., Madsen, I. C., Weber, P., Nielsen, P. H. & Scott, P. (eds.). IOS Press, p. 277-281 5 p. (Studies in Health Technology and Informatics; vol. 270).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access2 Link opens in a new tab Citations (Scopus) -
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
Makino, M., Yoshimoto, R., Ono, M., Itoko, T., Katsuki, T., Koseki, A., Kudo, M., Haida, K., Kuroda, J., Yanagiya, R., Saito, E., Hoshinaga, K., Yuzawa, Y. & Suzuki, A., 01-12-2019, In: Scientific reports. 9, 1, 11862.Research output: Contribution to journal › Article › peer-review
Open Access194 Link opens in a new tab Citations (Scopus)