Hang Qiu
Orcid: 0000-0002-5380-2870Affiliations:
- University of Electronic Science and Technology of China, Chengdu, Sichuan, China
According to our database1,
Hang Qiu
authored at least 21 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2024
Personalized algorithmic pricing decision support tool for health insurance: The case of stratifying gestational diabetes mellitus into two groups.
Inf. Manag., 2024
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders.
Expert Syst. Appl., 2024
SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients.
Comput. Methods Programs Biomed., 2024
MMGCN: Multi-modal multi-view graph convolutional networks for cancer prognosis prediction.
Comput. Methods Programs Biomed., 2024
2023
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.
BMC Medical Informatics Decis. Mak., December, 2023
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning.
BMC Medical Informatics Decis. Mak., December, 2023
2022
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation.
IEEE Trans. Geosci. Remote. Sens., 2022
Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission.
BMC Medical Informatics Decis. Mak., 2022
Constrained optimization for stratified treatment rules with multiple responses of survival data.
Inf. Sci., 2022
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning.
Expert Syst. Appl., 2022
2021
Int. J. Medical Informatics, 2021
2020
A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction.
BMC Medical Informatics Decis. Mak., 2020
Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
BMC Medical Informatics Decis. Mak., 2020
A Stacking Ensemble Model to Predict Daily Number of Hospital Admissions for Cardiovascular Diseases.
IEEE Access, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2012
2008
Real-Time Shadow Research in Virtual Environment with Higher Complexity and Larger Shadow Regions.
Proceedings of the PACIIA 2008, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007