Guangyi Huang
Biographic Data
| ID | 8389307 |
|---|---|
| NAME | Guangyi Huang |
| GIVEN NAMES | Guangyi |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG G |
| AFFILIATIONS | Dalian Medical University |
| ORCID | 0000-0003-3412-5808 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
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…
Development and Internal Validation of Supervised Machine Learning Algorithm for Predicting the Risk of Recollapse Following Minimally Invasive Kyphoplasty in Osteoporotic Vertebral Compression Fractu…
Background The published literatures indicate that patients with osteoporotic vertebral compression fractures (OVCFs) benefit significantly from percutaneous kyphoplasty (PKP), but this surgical technique is associated with frequent postoperative recollapse, a complication that severely limits long-term postoperative functional recovery. Methods This study retrospectively analyzed single-segment OVCF patients who underwent bilateral PKP at our ac…
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…
Development and Internal Validation of Supervised Machine Learning Algorithm for Predicting the Risk of Recollapse Following Minimally Invasive Kyphoplasty in Osteoporotic Vertebral Compression Fractu…
Background The published literatures indicate that patients with osteoporotic vertebral compression fractures (OVCFs) benefit significantly from percutaneous kyphoplasty (PKP), but this surgical technique is associated with frequent postoperative recollapse, a complication that severely limits long-term postoperative functional recovery. Methods This study retrospectively analyzed single-segment OVCF patients who underwent bilateral PKP at our ac…
Internal Medicine (2 works) · Medical Imaging and Analysis (2 works) · Medicine (2 works) · Receiver operating characteristic (2 works) · Surgery (2 works) · Body mass index (1 work) · Cervical and Thoracic Myelopathy (1 work) · Cohort (1 work) · Confidence interval (1 work) · Hip and Femur Fractures (1 work)