A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information

Autor: Xiangyu Meng, Xun Wang, Xudong Zhang, Chaogang Zhang, Zhiyuan Zhang, Kuijie Zhang, Shudong Wang

Publikováno v: Cells, Vol 11, Iss 9, p 1421 (2022)

Cancer prognosis is an essential goal for early diagnosis, biomarker selection, and medical therapy. In the past decade, deep learning has successfully solved a variety of biomedical problems. However, due to the high dimensional limitation of human

Externí odkaz: https://doaj.org/article/b5a1733899ed48dda5ed907a73531cd6

Would the universal republic be viable?

Autor: Koenig-Archibugi, Mathias

Publikováno v: The Universal Republic: A Realistic Utopia?.

Externí odkaz: https://doi.org/10.1093/9780198921158.003.0004

Cox Survival Model based Optimal Screening Strategy for Tuberculosis

Autor: Di Wu, Rui Peng, Kaiye Gao, Qingqing Zhai

Publikováno v: 2019 Prognostics and System Health Management Conference (PHM-Qingdao).

Tuberculosis is one of leading threats to human beings’ health. Thus, the screening is essential as it can contribute to the more effective treatment of the patients infected with tuberculosis and the reduction of unintended infection from these pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf9eb9bdbec11b1a0e30a43ef9aa3e46
https://doi.org/10.1109/phm-qingdao46334.2019.8942854

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Larynx cancer survival model developed through open-source federated learning

Autor: Christian Rønn Hansen, Gareth Price, Matthew Field, Nis Sarup, Ruta Zukauskaite, Jørgen Johansen, Jesper Grau Eriksen, Farhannah Aly, Andrew McPartlin, Lois Holloway, David Thwaites, Carsten Brink

Publikováno v: Rønn Hansen, C, Price, G, Field, M, Sarup, N, Zukauskaite, R, Johansen, J, Eriksen, J G, Aly, F, McPartlin, A, Holloway, L, Thwaites, D & Brink, C 2022, ' Larynx cancer survival model developed through open-source federated learning ', Radiotherapy and Oncology, vol. 176, pp. 179-186 . https://doi.org/10.1016/j.radonc.2022.09.023

Introduction: Federated learning has the potential to perfrom analysis on decentralised data; however, there are some obstacles to survival analyses as there is a risk of data leakage. This study demonstrates how to perform a stratified Cox regressio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee2aec89436650a9abc2e8433b1475e
https://doi.org/10.1016/j.radonc.2022.09.023