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pro vyhledávání: '"Jeong, Jong In"'
An important aspect of precision medicine focuses on characterizing diverse responses to treatment due to unique patient characteristics, also known as heterogeneous treatment effects (HTE), and identifying beneficial subgroups with enhanced treatmen
Externí odkaz:
http://arxiv.org/abs/2407.01565
Often linear regression is used to perform mediation analysis. However, in many instances, the underlying relationships may not be linear, as in the case of placental-fetal hormones and fetal development. Although, the exact functional form of the re
Externí odkaz:
http://arxiv.org/abs/2310.09185
Composite endpoints are commonly used with an anticipation that clinically relevant endpoints as a whole would yield meaningful treatment benefits. The win ratio is a rank-based statistic to summarize composite endpoints, allowing prioritizing the im
Externí odkaz:
http://arxiv.org/abs/2212.06676
Publikováno v:
NeurIPS 2022
This paper considers doing quantile regression on censored data using neural networks (NNs). This adds to the survival analysis toolkit by allowing direct prediction of the target variable, along with a distribution-free characterisation of uncertain
Externí odkaz:
http://arxiv.org/abs/2205.13496
Autor:
Lee, Hee Yul a, 1, Lee, Ji Ho a, 1, Cho, Du Yong a, Jang, Kyeong Jin a, Jeong, Jong Bin a, Kim, Min Ju a, b, Lee, Ga Young a, Jang, Mu Yeun a, Lee, Jin Hwan c, ⁎, Cho, Kye Man a, ⁎
Publikováno v:
In Food Chemistry: X 30 December 2024 24
Autor:
Kavitha, C.M., Eshwarappa, K.M., Gurumurthy, S.C., Surabhi, Srivathsava, Jeong, Jong-Ryul, Morales, Daniela V.
Publikováno v:
In Journal of Alloys and Compounds 15 December 2024 1008
Autor:
Park, Sang J., Cao Van, Phuoc, Kang, Min-Gu, Jung, Hyeon-Jung, Kim, Gi-Yeop, Choi, Si-Young, Yoo, Jung-Woo, Park, Byong-Guk, Kim, Se Kwon, Jeong, Jong-Ryul, Jin, Hyungyu
Publikováno v:
In Matter 4 December 2024 7(12):4332-4341
Autor:
Won, Woonjae, Park, Min Tae, Lee, Taekhyeon, Park, Albert Min Gyu, Jeong, Jong-Ryul, Jung, Myung-Hwa, Kim, Kab-Jin
Publikováno v:
In Journal of Magnetism and Magnetic Materials 1 November 2024 609
Autor:
Jeong, Jong-Hyeon, Jia, Yichen
Deep learning (DL) has recently drawn much attention in image analysis, natural language process, and high-dimensional medical data analysis. Under the causal direct acyclic graph (DAG) interpretation, the input variables without incoming edges from
Externí odkaz:
http://arxiv.org/abs/2203.10207
Autor:
Jeong, Jong-Hyeon, Jia, Yichen
With the rapid advances of deep learning, many computational methods have been developed to analyze nonlinear and complex right censored data via deep learning approaches. However, the majority of the methods focus on predicting survival function or
Externí odkaz:
http://arxiv.org/abs/2202.05155