Kehui Chen

ORCID: 0009-0003-4725-5692
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Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Lung Cancer Research Studies
  • Cancer Immunotherapy and Biomarkers
  • Lipoproteins and Cardiovascular Health
  • Statistical Methods and Inference
  • Nutrition and Health in Aging
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Cerebral Palsy and Movement Disorders
  • Endometrial and Cervical Cancer Treatments
  • Advanced Bandit Algorithms Research
  • Neuroendocrine Tumor Research Advances
  • Liver Disease Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Eicosanoids and Hypertension Pharmacology
  • Statistical and numerical algorithms
  • Blood Pressure and Hypertension Studies
  • Advanced Statistical Methods and Models
  • Recommender Systems and Techniques
  • Inflammatory Biomarkers in Disease Prognosis
  • Peptidase Inhibition and Analysis
  • Cancer Genomics and Diagnostics
  • Immunotherapy and Immune Responses
  • Adipokines, Inflammation, and Metabolic Diseases
  • Semiconductor Lasers and Optical Devices
  • Cancer therapeutics and mechanisms

Meizhou City People's Hospital
2024

Sun Yat-sen University
2023-2024

Sun Yat-sen University Cancer Center
2023-2024

Second Affiliated Hospital of Fujian Medical University
2024

Fujian Medical University
2024

Guizhou University
2023

Shuguang Hospital
2022

Shanghai University of Traditional Chinese Medicine
2022

University of Pittsburgh
2013-2022

University of California, Davis
2011-2012

Summary Motivated by the conditional growth charts problem, we develop a method for quantile analysis when predictors take values in functional space. The proposed aims at estimating distribution functions under generalized regression framework. This approach facilitates balancing of model flexibility and curse dimensionality infinite dimensional predictors. Its good performance comparison with other methods, both sparsely densely observed covariates, is demonstrated through theory as well...

10.1111/j.1467-9868.2011.01008.x article EN Journal of the Royal Statistical Society Series B (Statistical Methodology) 2011-10-10

Abstract Objective Dyslipidemia is a co-existing problem in patients with diabetes mellitus (DM) and coronary artery disease (CAD), apolipoprotein E (APOE) plays an important role lipid metabolism. However, the relationship between APOE gene polymorphisms risk of developing CAD type 2 DM (T2DM) remains controversial. The aim this study was to assess provide reference for further assessment T2DM patients. Methods included 378 complicated (T2DM + CAD) 431 alone case group, 351 individuals...

10.1186/s12872-024-03831-0 article EN cc-by BMC Cardiovascular Disorders 2024-03-15

Although the knowledge-based dose-volume histogram (DVH) prediction has been largely researched and applied in External Beam Radiation Therapy, it is still less investigated domain of brachytherapy. The purpose this study to develop a reliable DVH method for high-dose-rate brachytherapy plans.A workflow combining kernel density estimation (KDE), k-nearest neighbor (kNN), principal component analysis (PCA) was proposed. PCA kNN were first employed together select similar patients based on...

10.3389/fonc.2022.967436 article EN cc-by Frontiers in Oncology 2022-08-30

Objective: Cytochrome P450 2C19 (CYP2C19) is a major enzyme involved in the biotransformation and metabolism of various substances. Loss-of-function CYP2C19 gene represents downregulation indication limited or no enzymatic function, which may be, turn, associated with some disease susceptibility. The relationship between polymorphisms susceptibility to premature coronary artery (PCAD) not fully understood. This study aimed assess this relationship. Methods: included 635 PCAD patients, 548...

10.2147/ijgm.s486187 article EN cc-by-nc International Journal of General Medicine 2024-11-01

e14624 Background: The combination of PD-(L)1 inhibitors and chemotherapy (IO+Chemo) has become the standard first-line treatment for multiple types cancer. In contrast to monotherapy, there is a lack established biomarkers distinguish outcomes IO+Chemo. paucity high-quality omics data in this setting not allowed deep biomarker exploration. We utilized RNA-seq from two in-house randomized controlled trials (RCTs), RATIONALE-309 ORIENT-11, with goal find transcriptomic identify patients who...

10.1200/jco.2024.42.16_suppl.e14624 article EN Journal of Clinical Oncology 2024-06-01

2629 Background: Biomarkers for immune checkpoint blockade (ICB) are classified into two categories: those reflecting inflammation (e.g., PD-L1 expression and CD8+ T cell infiltration), indicating antigenicity tumor mutation burden [TMB] neoantigen [NAB]). Most newly discovered ICB biomarkers found to be associated with these types of information. Consequently, they might simply represent alternative assessments previously uncovered biology. Considering that resistance largely occurred in...

10.1200/jco.2024.42.16_suppl.2629 article EN Journal of Clinical Oncology 2024-06-01

This study aims to investigate how the impact of preoperative sarcopenia and inflammatory markers for laryngeal cancer patients develop a new scoring system predict their prognosis. Patients who underwent laryngectomy (LC) from December 2015 2020 at Second Affiliated Hospital Fujian Medical University were included. Independent prognostic factors determined using univariate multivariate analyses. A (SFAR) was established based on FAR sarcopenia, statistically analyzed. 198 cases included in...

10.1186/s12885-024-13039-2 article EN cc-by-nc-nd BMC Cancer 2024-10-11

One of the main goals recommendation systems is to predict unobserved ratings.The majority existing methods often implicitly assume that all entries are missing at random and homogeneous, i.e., ratings revealed with same probability.Studies show this assumption too strong in real data applications.In article, we propose a Zero-imputation method solve prediction problems under heterogeneous situations.Our algorithm has closed form solution, scalable large sets can be extended work for cold...

10.5705/ss.202021.0429 article EN Statistica Sinica 2022-06-22
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