Guilan Kong

According to our database, Guilan Kong authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-guided deep hashing networks for similar patient retrieval.

Yifan Gu, Xuebing Yang, Mengxuan Sun, Chutong Wang, Hongyu Yang, Chao Yang, Jinwei Wang, Guilan Kong, Jicheng Lv, Wensheng Zhang

Comput. Biol. Medicine, February, 2024

2023

Two-layer partitioned and deletable deep bloom filter for large-scale membership query.

Meng Zeng, Beiji Zou, Wensheng Zhang, Xuebing Yang, Guilan Kong, Xiaoyan Kui, Chengzhang Zhu

Inf. Syst., October, 2023

Medical visual question answering with symmetric interaction attention and cross-modal gating.

Zhi Chen, Beiji Zou, Yulan Dai, Chengzhang Zhu, Guilan Kong, Wensheng Zhang

Biomed. Signal Process. Control., August, 2023

Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data.

Tongyue Shi, Zhilong Zhang, Wentie Liu, Junhua Fang, Jianguo Hao, Shuai Jin, Huiying Zhao, Guilan Kong

CoRR, 2023

2022

Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Yifan Gu, Xuebing Yang, Lei Tian, Hongyu Yang, Jicheng Lv, Chao Yang, Jinwei Wang, Jianing Xi, Guilan Kong, Wensheng Zhang

J. Biomed. Informatics, 2022

Identifying Patient Subgroups with Different Mortality Risks in ICU Based on Dynamically Acquired Clinical Data.

Zhilong Zhang, Guilan Kong, Shuai Jin, Huiying Zhao

Proceedings of the AMIA 2022, 2022

Identifying risk factors for cognitive impairment in diabetes by combining machine learning and logistic regression methods.

Jiayu Wang, Guilan Kong, Fengyu Wen

Proceedings of the AMIA 2022, 2022

2021

Evidential Reasoning Rule-Based Decision Support System for Predicting ICU Admission and In-Hospital Death of Trauma.

Guilan Kong, Dong-Ling Xu, Jian-Bo Yang, Tianbing Wang, Baoguo Jiang

IEEE Trans. Syst. Man Cybern. Syst., 2021

2020

Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU.

Guilan Kong, Ke Lin, Yonghua Hu

BMC Medical Informatics Decis. Mak., 2020

2019

Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model.

Ke Lin, Yonghua Hu, Guilan Kong

Int. J. Medical Informatics, 2019

Predicting Length of ICU Stay via Random Forest.

Jingyi Wu, Ke Lin, Yu Lin, Yonghua Hu, Guilan Kong

Proceedings of the AMIA 2019, 2019

2018

Combining principal component analysis and the evidential reasoning approach for healthcare quality assessment.

Guilan Kong, Lili Jiang, Xiaofeng Yin, Tianbing Wang, Dong-Ling Xu, Jian-Bo Yang, Yonghua Hu

Ann. Oper. Res., 2018

Predicting In-hospital Mortality of Patients with Sepsis in the ICU via Machine Learning Models.

Ke Lin, Junqing Xie, Guilan Kong

Proceedings of the AMIA 2018, 2018

2016

Belief rule-based inference for predicting trauma outcome.

Guilan Kong, Dong-Ling Xu, Jian-Bo Yang, Xiaofeng Yin, Tianbing Wang, Baoguo Jiang, Yonghua Hu

Knowl. Based Syst., 2016

2015

Protecting privacy in a clinical data warehouse.

Guilan Kong, Zhichun Xiao

Health Informatics J., 2015

Combined medical quality assessment using the evidential reasoning approach.

Guilan Kong, Dong-Ling Xu, Jian-Bo Yang, Xiemin Ma

Expert Syst. Appl., 2015

2012

A belief rule-based decision support system for clinical risk assessment of cardiac chest pain.

Guilan Kong, Dong-Ling Xu, Richard Body, Jian-Bo Yang, Kevin Mackway-Jones, Simon Carley

Eur. J. Oper. Res., 2012

2009

Applying a belief rule-base inference methodology to a guideline-based clinical decision support system.

Guilan Kong, Dong-Ling Xu, Xinbao Liu, Jian-Bo Yang

Expert Syst. J. Knowl. Eng., 2009

2008

Clinical Decision Support Systems: A Review on Knowledge Representation and Inference Under Uncertainties.

Guilan Kong, Dong-Ling Xu, Jian-Bo Yang

Int. J. Comput. Intell. Syst., 2008