Zobrazeno 1 - 10
of 267 514
pro vyhledávání: '"Risk prediction"'
Computer-aided cancer survival risk prediction plays an important role in the timely treatment of patients. This is a challenging weakly supervised ordinal regression task associated with multiple clinical factors involved such as pathological images
Externí odkaz:
http://arxiv.org/abs/2409.02145
As advancements in novel biomarker-based algorithms and models accelerate disease risk prediction and stratification in medicine, it is crucial to evaluate these models within the context of their intended clinical application. Prediction models outp
Externí odkaz:
http://arxiv.org/abs/2408.01626
Autor:
Alshahrani, Maha1,2,3, Sabatini, Serena4, Mohan, Devi5, Brain, Jacob6,7, Pakpahan, Eduwin8, Tang, Eugene Y. H.9, Robinson, Louise10, Siervo, Mario1,11, Naheed, Aliya12, Stephan, Blossom Christa Maree1,6 blossom.stephan@curtin.edu.au
Publikováno v:
Frontiers in Epidemiology. 2024, p1-7. 7p.
Uncertainty around predictions from a model due to the finite size of the development sample has traditionally been approached using classical inferential techniques. The finite size of the sample will result in the discrepancy between the final mode
Externí odkaz:
http://arxiv.org/abs/2410.03096
A grid search, at the cost of training and testing a large number of models, is an effective way to optimize the prediction performance of deep learning models. A challenging task concerning grid search is the time management. Without a good time man
Externí odkaz:
http://arxiv.org/abs/2408.07673
Autor:
Kang, Ning1,2 (AUTHOR) kangn@cma.gov.cn, Zhang, Liguo3 (AUTHOR) 201621480057@mail.bnu.edu.cn, Zong, Weiguo1,2 (AUTHOR) zongwg@cma.gov.cn, Huang, Pan4,5 (AUTHOR) by2315144@buaa.edu.cn, Zhang, Yuqiang6 (AUTHOR) yqzhang@whu.edu.cn, Zhou, Chen6 (AUTHOR) chenzhou@whu.edu.cn, Qiao, Jian7 (AUTHOR) qiaojian@picc.com.cn, Xue, Bingsen1,2 (AUTHOR) xuebs@cma.gov.cn
Publikováno v:
Remote Sensing. May2024, Vol. 16 Issue 10, p1814. 19p.
Autor:
Lin, Shaofu1 (AUTHOR) linshaofu@bjut.edu.cn, Yan, Haokang1 (AUTHOR) yhk-yhk@emails.bjut.edu.cn, Zhou, Shiwei1 (AUTHOR) 1766485082@emails.bjut.edu.cn, Qiao, Ziqian1 (AUTHOR), Chen, Jianhui1,2,3,4,5 (AUTHOR) yhk-yhk@emails.bjut.edu.cn
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 15, p5033. 18p.
Autor:
D'Inverno, Giuseppe Alessio, Moradizadeh, Saeid, Salavatidezfouli, Sajad, Africa, Pasquale Claudio, Rozza, Gianluigi
The complexity of the cardiovascular system needs to be accurately reproduced in order to promptly acknowledge health conditions; to this aim, advanced multifidelity and multiphysics numerical models are crucial. On one side, Full Order Models (FOMs)
Externí odkaz:
http://arxiv.org/abs/2410.03802
Autor:
Sahu, Ricky, Marriott, Eric, Siegel, Ethan, Wagner, David, Uzan, Flore, Yang, Troy, Javed, Asim
With U.S. healthcare spending approaching $5T (NHE Fact Sheet 2024), and 25% of it estimated to be wasteful (Waste in the US the health care system: estimated costs and potential for savings, n.d.), the need to better predict risk and optimal patient
Externí odkaz:
http://arxiv.org/abs/2409.13000