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Prevention of stroke with its associated risk factors has been one of the public health priorities worldwide.
Missing data, imputation, and the bootstrap
Bradley Efron · 1994
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Logistic regression
David G Kleinbaum, K Dietz, M Gail, Mitchel Klein, and Mitchell Klein · 2002
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Classification and regression by randomforest
Andy Liaw, Matthew Wiener, et al · 2002
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A stroke prediction score in the elderly: validation and web-based application
Thomas Lumley, Richard A Kronmal, Mary Cushman, Teri A Manolio, and Steven Goldstein · 2002
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Prediction of ischemic stroke risk in the atherosclerosis risk in communities study
Lloyd E Chambless, Gerardo Heiss, Eyal Shahar, Mary Jo Earp, and James Toole · 2004
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How do american stroke risk functions perform in a western european population?
Zoltán Vokó, Monika Hollander, Peter J Koudstaal, Albert Hofman, and Monique MB Breteler · 2004
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Generating survival times to simulate cox proportional hazards models
Ralf Bender, Thomas Augustin, and Maria Blettner · 2005
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
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Federated optimization: Distributed machine learning for on-device intelligence
Jakub Konecný, H. Brendan McMahan, Daniel Ramage, and Peter Richtárik · 2016
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Federated learning of deep networks using model averaging
H. Brendan McMahan, Eider Moore, Daniel Ramage, and Blaise Agüera y Arcas · 2016
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Regulation (eu) 2016/679 of the european parliament and of the council of 27 april 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing directive 95/46
General Data Protection Regulation · 2016
Cited alongside, same era.
Artificial intelligence in healthcare: past, present and future
Multi-institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation
Micah J Sheller, G Anthony Reina, Brandon Edwards, Jason Martin, and Spyridon Bakas · 2018
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Facebook scandal raises data privacy concerns
Hilary Tuttle · 2018
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Hhhfl: Hierarchical heterogeneous horizontal federated learning for electroencephalography
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, and Qiang Yang · 2019
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Advances and open problems in federated learning
Peter Kairouz, H Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, et al · 2019
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Privacy-preserving federated brain tumour segmentation
Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M Jorge Cardoso, et al · 2019
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Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, and Yongjun Wang · 2017
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Federated learning of predictive models from federated electronic health records
Theodora S Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch Paschalidis, and Wei Shi · 2018
Cited alongside, same era.
Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, and Joel T Dudley · 2018
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Federated learning
Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, and Han Yu · 2019
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Federated transfer learning for eeg signal classification
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, and Cuntai Guan · 2020
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