Chaohui Guo

According to our database, Chaohui Guo authored at least 21 papers between 2014 and 2023.

Collaborative distances:

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

2023

Named Entity Recognition for Long COVID Biomedical Literature by Using Bert-BiLSTM-IDCNN-ATT-CRF Approach.

Zongwang Han, Shaofu Lin, Zhisheng Huang, Chaohui Guo

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.

Baoxin Wang, Shaofu Lin, Zhisheng Huang, Chaohui Guo

Proceedings of the Health Information Science - 12th International Conference, 2023

2022

Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM.

Chaohui Guo, Shaofu Lin, Zhisheng Huang, Yahong Yao

Health Inf. Sci. Syst., 2022

Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research.

Clarissa Gardner, Jack Halligan, Gianluca Fontana, Roberto Fernandez Crespo, Matthew Prime, Chaohui Guo, Okan Ekinci, Saira Ghafur, Ara Darzi

Health Informatics J., 2022

Research on the Construction of Psychological Crisis Intervention Strategy Service System.

Yahong Yao, Shaofu Lin, Zhisheng Huang, Shushi Li, Chaohui Guo, Ying Wu

Proceedings of the Health Information Science - 11th International Conference, 2022

2021

Composite quantile regression for ultra-high dimensional semiparametric model averaging.

Chaohui Guo, Jing Lv, Jibo Wu

Comput. Stat. Data Anal., 2021

Mental Health Question and Answering System Based on Bert Model and Knowledge Graph Technology.

Chaohui Guo, Shaofu Lin, Zhisheng Huang, Yahong Yao

Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic.

Chaohui Guo, Shaofu Lin, Zhisheng Huang, Chengyu Shi, Yahong Yao

Proceedings of the Health Information Science - 10th International Conference, 2021

2020

Challenges for the evaluation of digital health solutions - A call for innovative evidence generation approaches.

Chaohui Guo, Hutan Ashrafian, Saira Ghafur, Gianluca Fontana, Clarissa Gardner, Matthew Prime

npj Digit. Medicine, 2020

2017

Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data.

Jing Lv, Chaohui Guo

Comput. Stat., 2017

Variable selection in partially linear additive models for modal regression.

Jing Lv, Hu Yang, Chaohui Guo

Commun. Stat. Simul. Comput., 2017

A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data.

Jing Lv, Chaohui Guo, Hu Yang, Yalian Li

Comput. Stat. Data Anal., 2017

2016

Generalized varying index coefficient models.

Chaohui Guo, Hu Yang, Jing Lv

J. Comput. Appl. Math., 2016

Erratum to: Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data.

Jing Lv, Hu Yang, Chaohui Guo

Comput. Stat., 2016

Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data.

Jing Lv, Hu Yang, Chaohui Guo

Comput. Stat., 2016

Robust estimation for varying index coefficient models.

Jing Lv, Hu Yang, Chaohui Guo

Comput. Stat., 2016

Penalized LAD Regression for Single-index Models.

Hu Yang, Jing Lv, Chaohui Guo

Commun. Stat. Simul. Comput., 2016

2015

SCAD penalized rank regression with a diverging number of parameters.

Hu Yang, Chaohui Guo, Jing Lv

J. Multivar. Anal., 2015

Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function.

Jing Lv, Hu Yang, Chaohui Guo

J. Comput. Appl. Math., 2015

An efficient and robust variable selection method for longitudinal generalized linear models.

Jing Lv, Hu Yang, Chaohui Guo

Comput. Stat. Data Anal., 2015

2014

Robust variable selection in semiparametric mean-covariance regression for longitudinal data analysis.

Chaohui Guo, Hu Yang, Jing Lv

Appl. Math. Comput., 2014