Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jigen Luo"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In the field of data analysis, it is often faced with a large number of missing values, especially in metabolomics data, this problem is more prominent. Data imputation is a common method to deal with missing metabolomics data, while traditi
Externí odkaz:
https://doaj.org/article/2420284f2a2c44868784fd327a0d1cfa
Publikováno v:
PeerJ Computer Science, Vol 10, p e2073 (2024)
Metabolomics data has high-dimensional features and a small sample size, which is typical of high-dimensional small sample (HDSS) data. Too high a dimensionality leads to the curse of dimensionality, and too small a sample size tends to trigger overf
Externí odkaz:
https://doaj.org/article/6cd24198a8b3415b8f106cacc887d53a
Autor:
Wangping Xiong, Yimin Zhu, Qingxia Zeng, Jianqiang Du, Kaiqi Wang, Jigen Luo, Ming Yang, Xian Zhou
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14395-14413 (2023)
A dose-effect relationship analysis of traditional Chinese Medicine (TCM) is crucial to the modernization of TCM. However, due to the complex and nonlinear nature of TCM data, such as multicollinearity, it can be challenging to conduct a dose-effect
Externí odkaz:
https://doaj.org/article/5c8cca574ab74c8bac94d31b9f14282e
Publikováno v:
2023 International Conference on Intelligent Supercomputing and BioPharma (ISBP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7829a659f0255f7ca9d37bfebb24e59f
https://doi.org/10.1109/isbp57705.2023.10061301
https://doi.org/10.1109/isbp57705.2023.10061301
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:1243-1264
High-dimensional small sample data are prone to the curse of dimensionality and overfitting and contain many irrelevant and redundant features. In order to solve these feature selection problems, a new Two-stage Hybrid Feature Selection Algorithm (Ts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f597d737d069a1cf982db4cf53c0382b
https://doi.org/10.1007/s13042-021-01445-y
https://doi.org/10.1007/s13042-021-01445-y
Publikováno v:
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ca5cf822109be82e858818043be401
https://doi.org/10.1145/3573428.3573668
https://doi.org/10.1145/3573428.3573668
Publikováno v:
Evidence-Based Complementary and Alternative Medicine, Vol 2021 (2021)
Evidence-based Complementary and Alternative Medicine : eCAM
Evidence-based Complementary and Alternative Medicine : eCAM
The text similarity calculation plays a crucial role as the core work of artificial intelligence commercial applications such as traditional Chinese medicine (TCM) auxiliary diagnosis, intelligent question and answer, and prescription recommendation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c60d236c8c8ea3c3d84fa76986a4a7b
https://doaj.org/article/33a5288f24584e04b0705b34f0282a5d
https://doaj.org/article/33a5288f24584e04b0705b34f0282a5d
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
The basic experimental data of traditional Chinese medicine are generally obtained by high-performance liquid chromatography and mass spectrometry. The data often show the characteristics of high dimensionality and few samples, and there are many irr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e4d5de0b1d0b9f794f68e5a562c3d91
Publikováno v:
Sensors and Materials. 32:3463
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c956a151c88f26815a156b11f07c74f3
https://doi.org/10.18494/sam.2020.2931
https://doi.org/10.18494/sam.2020.2931
Publikováno v:
BIBM
To try to decrease the preference of the attribute values for information gain and information gain ratio, in the paper, the authors puts forward a improved algorithm of C4.5 decision tree on the selection classification attribute. The basic thought
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebe3fb3d6ea0f49ae6d1eef2f958b770
https://doi.org/10.1109/bibm.2017.8217863
https://doi.org/10.1109/bibm.2017.8217863