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Chaohui Guo
ORCID
Publication Activity (10 Years)
Years Active: 2014-2023
Publications (10 Years): 17
Top Topics
Variable Selection
Linear Model
Quantile Regression
Fischer Burmeister
Top Venues
Comput. Stat.
Comput. Stat. Data Anal.
HIS
J. Comput. Appl. Math.
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Publications
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Zongwang Han
,
Shaofu Lin
,
Zhisheng Huang
,
Chaohui Guo
Named Entity Recognition for Long COVID Biomedical Literature by Using Bert-BiLSTM-IDCNN-ATT-CRF Approach.
ISAIMS
(2023)
Baoxin Wang
,
Shaofu Lin
,
Zhisheng Huang
,
Chaohui Guo
Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.
HIS
(2023)
Clarissa Gardner
,
Jack Halligan
,
Gianluca Fontana
,
Roberto Fernandez Crespo
,
Matthew Prime
,
Chaohui Guo
,
Okan Ekinci
,
Saira Ghafur
,
Ara Darzi
Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research.
Health Informatics J.
28 (2) (2022)
Yahong Yao
,
Shaofu Lin
,
Zhisheng Huang
,
Shushi Li
,
Chaohui Guo
,
Ying Wu
Research on the Construction of Psychological Crisis Intervention Strategy Service System.
HIS
(2022)
Chaohui Guo
,
Shaofu Lin
,
Zhisheng Huang
,
Yahong Yao
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM.
Health Inf. Sci. Syst.
10 (1) (2022)
Chaohui Guo
,
Shaofu Lin
,
Zhisheng Huang
,
Yahong Yao
Mental Health Question and Answering System Based on Bert Model and Knowledge Graph Technology.
ISAIMS
(2021)
Chaohui Guo
,
Shaofu Lin
,
Zhisheng Huang
,
Chengyu Shi
,
Yahong Yao
Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic.
HIS
(2021)
Chaohui Guo
,
Jing Lv
,
Jibo Wu
Composite quantile regression for ultra-high dimensional semiparametric model averaging.
Comput. Stat. Data Anal.
160 (2021)
Chaohui Guo
,
Hutan Ashrafian
,
Saira Ghafur
,
Gianluca Fontana
,
Clarissa Gardner
,
Matthew Prime
Challenges for the evaluation of digital health solutions - A call for innovative evidence generation approaches.
npj Digit. Medicine
3 (2020)
Jing Lv
,
Chaohui Guo
Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data.
Comput. Stat.
32 (3) (2017)
Jing Lv
,
Chaohui Guo
,
Hu Yang
,
Yalian Li
A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data.
Comput. Stat. Data Anal.
112 (2017)
Jing Lv
,
Hu Yang
,
Chaohui Guo
Variable selection in partially linear additive models for modal regression.
Commun. Stat. Simul. Comput.
46 (7) (2017)
Chaohui Guo
,
Hu Yang
,
Jing Lv
Generalized varying index coefficient models.
J. Comput. Appl. Math.
300 (2016)
Jing Lv
,
Hu Yang
,
Chaohui Guo
Erratum to: Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data.
Comput. Stat.
31 (3) (2016)
Hu Yang
,
Jing Lv
,
Chaohui Guo
Penalized LAD Regression for Single-index Models.
Commun. Stat. Simul. Comput.
45 (7) (2016)
Jing Lv
,
Hu Yang
,
Chaohui Guo
Robust estimation for varying index coefficient models.
Comput. Stat.
31 (3) (2016)
Jing Lv
,
Hu Yang
,
Chaohui Guo
Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data.
Comput. Stat.
31 (3) (2016)
Hu Yang
,
Chaohui Guo
,
Jing Lv
SCAD penalized rank regression with a diverging number of parameters.
J. Multivar. Anal.
133 (2015)
Jing Lv
,
Hu Yang
,
Chaohui Guo
An efficient and robust variable selection method for longitudinal generalized linear models.
Comput. Stat. Data Anal.
82 (2015)
Jing Lv
,
Hu Yang
,
Chaohui Guo
Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function.
J. Comput. Appl. Math.
280 (2015)
Chaohui Guo
,
Hu Yang
,
Jing Lv
Robust variable selection in semiparametric mean-covariance regression for longitudinal data analysis.
Appl. Math. Comput.
245 (2014)