Multi-Label Learning Model for Diabetes Disease Comorbidity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s40031-023-00913-z.pdf
Reference37 articles.
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3. H.E. Williams, C.R. Howell, W. Chemaitilly, L.C. Wilson, S.E. Karol, V.G. Nolan, M.P. Smeltzer, D.M. Green, M.J. Ehrhardt, D.A. Mulrooney, C.-H. Pui, M.M. Hudson, L.L. Robison, K.K. Ness, Diabetes mellitus among adult survivors of childhood acute lymphoblastic leukemia: a report from the St. Jude lifetime cohort study. Cancer 126, 870–878 (2019)
4. D. Zufferey, T. Hofer, J. Hennebert, M. Schumacher, R. Ingold, S. Bromuri, Performance comparison of multi-label learning algorithms on clinical data forchronic diseases. Comput. Biol. Med. 65, 34–43 (2015)
5. G. Bianchi, G. Marchesini, M. Zoli, E. Bugianesi, A. Fabbri and E. Pisi, "Bianchi G, Marchesini G, Zoli M, Bugianesi E, Fabbri A, Pisi E., Prognostic Significance of Diabetes in Patients with Cirrhosis Hepatol. vol. 20, pp. 119 – 125 (1994)
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