Kang Tian
Biographic Data
| ID | 9904691 |
|---|---|
| NAME | Kang Tian |
| GIVEN NAMES | Kang |
| FAMILY NAME | Tian |
| SIGNATURE | TIAN K |
| AFFILIATIONS | Dalian Medical University |
| ORCID | 0000-0003-4766-8545 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Evaluation of the osteoarthritis disease burden in China from 1990 to 2021
Objective: This study aims to understand the current status and trend of the disease burden of osteoarthritis (OA) in people over 30 years old in China from 1990 to 2021 and identify the priority population groups, to provide reference data for the prevention and treatment of OA in China. Methods: The Global Burden of Disease Study 2021 was used to describe the incidence, prevalence, and disability-adjusted life years (DALYs) of OA in adult aged …
Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning
Background: An increasing number of geriatric patients are suffering from degenerative lumbar spondylolisthesis (DLS) and need a lumbar interbody fusion (LIF) operation to alleviate the symptoms. Our study was performed aiming to determine the predictors that contributed to unfavorable clinical efficacy among patients with DLS after LIF according to the support vector machine (SVM) algorithm. Methods: A total of 157 patients with single-segment D…
Using the ISM-ANP-SD combination model to explore the mechanism and intervention strategies of influencing factors of coal mine safety system
Background: With the intelligent construction of coal mines, the number of coal mine accidents is gradually decreasing, but the complexity of accidents is increasing. Understanding the interaction mechanism among the influencing factors of the coal mine safety system is an essential part of improving and enhancing the safety of the coal mine system. Methods: The descriptive, structural model-network hierarchical analysis (ISM-ANP) was used to exp…
No prominent works on this page.
Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning
Background: An increasing number of geriatric patients are suffering from degenerative lumbar spondylolisthesis (DLS) and need a lumbar interbody fusion (LIF) operation to alleviate the symptoms. Our study was performed aiming to determine the predictors that contributed to unfavorable clinical efficacy among patients with DLS after LIF according to the support vector machine (SVM) algorithm. Methods: A total of 157 patients with single-segment D…
Using the ISM-ANP-SD combination model to explore the mechanism and intervention strategies of influencing factors of coal mine safety system
Background: With the intelligent construction of coal mines, the number of coal mine accidents is gradually decreasing, but the complexity of accidents is increasing. Understanding the interaction mechanism among the influencing factors of the coal mine safety system is an essential part of improving and enhancing the safety of the coal mine system. Methods: The descriptive, structural model-network hierarchical analysis (ISM-ANP) was used to exp…
Evaluation of the osteoarthritis disease burden in China from 1990 to 2021
Objective: This study aims to understand the current status and trend of the disease burden of osteoarthritis (OA) in people over 30 years old in China from 1990 to 2021 and identify the priority population groups, to provide reference data for the prevention and treatment of OA in China. Methods: The Global Burden of Disease Study 2021 was used to describe the incidence, prevalence, and disability-adjusted life years (DALYs) of OA in adult aged …
Medicine (3 works) · Cohort (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Burden of disease (1 work) · Business (1 work) · Cervical and Thoracic Myelopathy (1 work) · China (1 work) · Coal (1 work) · Coal mining (1 work)