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1.
Exploring the causal relationship between inflammatory cytokines and inflammatory arthritis: A Mendelian randomization study.
Cytokine
; 173: 156446, 2024 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37979213
2.
Development and validation of a machine learning-based nomogram for predicting HLA-B27 expression.
BMC Immunol
; 24(1): 32, 2023 09 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-37752439
3.
Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty.
BMC Surg
; 23(1): 63, 2023 Mar 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-36959639
4.
Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods.
Comput Assist Surg (Abingdon)
; 29(1): 2345066, 2024 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-38860617
5.
Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms.
Biomol Biomed
; 24(2): 401-410, 2024 Mar 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-37897663
6.
Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study.
Sci Rep
; 14(1): 7691, 2024 04 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-38565845
7.
Development and validation of a risk nomogram to estimate risk of hyponatremia after spinal cord injury: A retrospective single-center study.
J Spinal Cord Med
; : 1-9, 2024 Apr 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-38656250
8.
Predictive Value of Machine Learning Models in Postoperative Mortality of Older Adults Patients with Hip Fracture: A Systematic Review and Meta-analysis.
Arch Gerontol Geriatr
; 115: 105120, 2023 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-37473692
9.
Network pharmacology combined with molecular docking and experimental validation to explore the potential mechanism of Cinnamomi ramulus against ankylosing spondylitis.
Ann Med
; 55(2): 2287193, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38019769
10.
Identification of clinical heterogeneity and construction of a novel subtype predictive model in patients with ankylosing spondylitis: An unsupervised machine learning study.
Int Immunopharmacol
; 117: 109879, 2023 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-36822084
11.
MMP9 and STAT1 are biomarkers of the change in immune infiltration after anti-tuberculosis therapy, and the immune status can identify patients with spinal tuberculosis.
Int Immunopharmacol
; 116: 109588, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-36773569
12.
Using Machine Learning to Predict Surgical Site Infection After Lumbar Spine Surgery.
Infect Drug Resist
; 16: 5197-5207, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37581167
13.
Epidemiological characteristics of ankylosing spondylitis in Guangxi Province of China from 2014 to 2021.
Arch Med Sci
; 19(4): 1049-1058, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37560717
14.
To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery.
Sci Rep
; 13(1): 9816, 2023 06 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-37330595
15.
Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.
Ann Med
; 55(2): 2249004, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37611242
16.
The causal relationship between autoimmune diseases and osteoporosis: a study based on Mendelian randomization.
Front Endocrinol (Lausanne)
; 14: 1196269, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37693362
17.
Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning.
BMC Med Genomics
; 16(1): 142, 2023 06 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-37340462
18.
Comprehensive AI-assisted tool for ankylosing spondylitis based on multicenter research outperforms human experts.
Front Public Health
; 11: 1063633, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36844823
19.
Upregulated of ANXA3, SORL1, and Neutrophils May Be Key Factors in the Progressionof Ankylosing Spondylitis.
Front Immunol
; 13: 861459, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35464477
20.
Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis.
Front Genet
; 13: 949882, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36263434