A customized cost penalized boosting approach for the selection of wart treatment methods
Author:
Funder
Ministry of Education, India
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16621-1.pdf
Reference22 articles.
1. Mishra A, Reddy US (2020) Machine learning approach for wart treatment selection: prominence on performance assessment. Netw Model Anal Health Inform Bioinforma 9:1–14
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3. Sizonenko PC (1978) Endocrinology in preadolescents and adolescents: I. hormonal changes during normal puberty. Am J Dis Child 132(7):704–712
4. Johnson KW, Soto JT, Glicksberg BS, Shameer K, Miotto R, Ali M, Ashley E, Dudley JT (2018) Artificial intelligence in cardiology. J Am Coll Cardiol 71(23):2668–2679
5. Vivaldi N, Caiola M, Solarana K, Ye M (2021) Evaluating performance of eeg data-driven machine learning for traumatic brain injury classification. IEEE Transactions on Biomedical Engineering
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