Zhaozhao Xu
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Explore the profile of Zhaozhao Xu including associated specialties, affiliations and a list of published articles.
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Articles
6
Citations
47
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Recent Articles
1.
Feng C, Hu C, Sun Z, Zhang H, Xu Z
PLoS One
. 2024 Apr;
19(4):e0301528.
PMID: 38635694
An inexpensive and high-performing solid Coumarone resin was added to Styrene-butadiene-styrene (SBS) copolymer-modified asphalt to enhance its storage stability and road performance. To assess the effect of Coumarone resin dosage...
2.
Xu Z, Yang F, Wang H, Sun J, Zhu H, Wang S, et al.
J King Saud Univ Comput Inf Sci
. 2024 Apr;
35(9):101731.
PMID: 38567001
Aim: Gene expression data is typically high dimensional with a limited number of samples and contain many features that are unrelated to the disease of interest. Existing unsupervised feature selection...
3.
Yang F, Xu Z, Wang H, Sun L, Zhai M, Zhang J
PLoS One
. 2024 Mar;
19(3):e0290332.
PMID: 38466662
Background: Cancer diagnosis based on machine learning has become a popular application direction. Support vector machine (SVM), as a classical machine learning algorithm, has been widely used in cancer diagnosis...
4.
Xu Z, Shen D, Kou Y, Nie T
IEEE Trans Neural Netw Learn Syst
. 2022 Aug;
35(3):3740-3753.
PMID: 35984792
Data imbalance is a common phenomenon in machine learning. In the imbalanced data classification, minority samples are far less than majority samples, which makes it difficult for minority to be...
5.
Xu Z, Shen D, Nie T, Kou Y
J Biomed Inform
. 2020 Jun;
107:103465.
PMID: 32512209
The problem of imbalanced data classification often exists in medical diagnosis. Traditional classification algorithms usually assume that the number of samples in each class is similar and their misclassification cost...
6.
Lee S, Xu Z, Li T, Yang Y
J Biomed Inform
. 2017 Nov;
78:144-155.
PMID: 29137965
From the perspective of clinical decision-making in a Medical IoT-based healthcare system, achieving effective and efficient analysis of long-term health data for supporting wise clinical decision-making is an extremely important...