Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Xiaokai Nie"'
Autor:
Xiaokai Nie, Xin Zhao
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Early circulatory failure detection is an effective way to reduce medical fatigue and improve state pre-warning ability. Instead of using 0-1 original state, a transformed state is proposed in this research, which reflects how the state is t
Externí odkaz:
https://doaj.org/article/2bbb7a13b87d40039090d791f2d942bb
Autor:
Xin Zhao, Xiaokai Nie
Publikováno v:
Entropy, Vol 24, Iss 10, p 1481 (2022)
In the status forecasting problem, classification models such as logistic regression with input variables such as physiological, diagnostic, and treatment variables are typical ways of modeling. However, the parameter value and model performance diff
Externí odkaz:
https://doaj.org/article/40b14eaaba5b41e29bca1e9fc1c6203b
Autor:
Xin Zhao, Xiaokai Nie
Publikováno v:
Complexity, Vol 2020 (2020)
Renewable energy has become popular compared with traditional energy like coal. The relative demand for renewable energy compared to traditional energy is an important index to determine the energy supply structure. Forecasting the relative demand in
Externí odkaz:
https://doaj.org/article/10afcaecc7324f1397fc9ebde0827de5
Autor:
Xin Zhao, Xiaokai Nie
Publikováno v:
Entropy, Vol 23, Iss 10, p 1241 (2021)
Some theories are explored in this research about decision trees which give theoretical support to the applications based on decision trees. The first is that there are many splitting criteria to choose in the tree growing process. The splitting bias
Externí odkaz:
https://doaj.org/article/16385b74e3e3458c88dbe3df5f716a30
Publikováno v:
IEEE Transactions on Communications. 71:1771-1784
Autor:
Xin Zhao, Xiaokai Nie
Publikováno v:
Journal of Healthcare Engineering. 2023:1-8
In medical states prediction, the observations of different individuals are generally assumed to follow an identical distribution, whereas precision medicine has a rigorous requirement for accurate subgroup analysis. In this research, an aggregated m
Publikováno v:
2022 China Automation Congress (CAC).
Publikováno v:
2022 China Automation Congress (CAC).
Publikováno v:
J Appl Stat
We develop a new method that combines a decision tree with a wavelet transform to forecast time series data with spatial spillover effects. The method can not only improve prediction but also give good interpretability of the time series mechanism. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d3e48ec1c09779558332958a62f626a
https://europepmc.org/articles/PMC10291940/
https://europepmc.org/articles/PMC10291940/
Autor:
Xin Zhao, Xiaokai Nie, Guofei Pang, Siyuan Qiu, Kehan Shi, Changqing Wang, Bingqi Zhao, Yidan Huo
Publikováno v:
Journal of Healthcare Engineering.
In the intensive care unit, the monitored variables collected from sensors may have different behaviors among patients with different clinical basic information. Giving prior information of the monitored variables based on their specific basic inform