Zobrazeno 1 - 10
of 688
pro vyhledávání: '"YIN, Guosheng"'
We propose a novel deep learning approach to nonparametric statistical inference for the conditional hazard function of survival time with right-censored data. We use a deep neural network (DNN) to approximate the logarithm of a conditional hazard fu
Externí odkaz:
http://arxiv.org/abs/2410.18021
We propose a model for diagnosing Autism spectrum disorder (ASD) using multimodal magnetic resonance imaging (MRI) data. Our approach integrates brain connectivity data from diffusion tensor imaging (DTI) and functional MRI (fMRI), employing graph ne
Externí odkaz:
http://arxiv.org/abs/2410.07138
Learning electronic health records (EHRs) has received emerging attention because of its capability to facilitate accurate medical diagnosis. Since the EHRs contain enriched information specifying complex interactions between entities, modeling EHRs
Externí odkaz:
http://arxiv.org/abs/2408.07569
Multiple instance learning (MIL) has been extensively applied to whole slide histopathology image (WSI) analysis. The existing aggregation strategy in MIL, which primarily relies on the first-order distance (e.g., mean difference) between instances,
Externí odkaz:
http://arxiv.org/abs/2407.11448
Autor:
Orsini, Léa, Brard, Caroline, Lesaffre, Emmanuel, Yin, Guosheng, Dejardin, David, Teuff, Gwénaël Le
Bayesian inference for survival regression modeling offers numerous advantages, especially for decision-making and external data borrowing, but demands the specification of the baseline hazard function, which may be a challenging task. We propose an
Externí odkaz:
http://arxiv.org/abs/2406.03821
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 3, p e19538 (2020)
BackgroundRecently, three randomized clinical trials on coronavirus disease (COVID-19) treatments were completed: one for lopinavir-ritonavir and two for remdesivir. One trial reported that remdesivir was superior to placebo in shortening the time to
Externí odkaz:
https://doaj.org/article/38d529df3cd34caab6fbe58a624adf37
Autor:
Yin, Guosheng, Jin, Huaqing
Publikováno v:
JMIR Public Health and Surveillance, Vol 6, Iss 2, p e19464 (2020)
BackgroundSince the outbreak of the novel coronavirus disease (COVID-19) in December 2019, the coronavirus has spread all over the world at an unprecedented rate. The transmissibility of the coronavirus from asymptomatic patients to healthy individua
Externí odkaz:
https://doaj.org/article/16f9ed9414e442d5a1e4d8f31897b196
Two-sample hypothesis testing is a fundamental problem with various applications, which faces new challenges in the high-dimensional context. To mitigate the issue of the curse of dimensionality, high-dimensional data are typically assumed to lie on
Externí odkaz:
http://arxiv.org/abs/2404.03198
We propose a functional accelerated failure time model to characterize effects of both functional and scalar covariates on the time to event of interest, and provide regularity conditions to guarantee model identifiability. For efficient estimation o
Externí odkaz:
http://arxiv.org/abs/2402.05395
Uncertainty estimation aims to evaluate the confidence of a trained deep neural network. However, existing uncertainty estimation approaches rely on low-dimensional distributional assumptions and thus suffer from the high dimensionality of latent fea
Externí odkaz:
http://arxiv.org/abs/2310.16587