Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …
Although of high complexity for a human being, it is essential to determine the patterns and …
[PDF][PDF] Machine learning in transfusion medicine: A scoping review
Blood transfusion is a routine medical procedure in hospitals with over 2 million blood
products transfused in the UK every year at a cost of over£ 300 million and a median …
products transfused in the UK every year at a cost of over£ 300 million and a median …
Identification of copper death-associated molecular clusters and immunological profiles in rheumatoid arthritis
Y Zhou, X Li, L Ng, Q Zhao, W Guo, J Hu… - Frontiers in …, 2023 - frontiersin.org
Objective An analysis of the relationship between rheumatoid arthritis (RA) and copper
death-related genes (CRG) was explored based on the GEO dataset. Methods Based on the …
death-related genes (CRG) was explored based on the GEO dataset. Methods Based on the …
A degradome-based prognostic signature that correlates with immune infiltration and tumor mutation burden in breast cancer
Y Luo, Y Ye, Y Chen, C Zhang, Y Sun… - Frontiers in …, 2023 - frontiersin.org
Introduction Female breast cancer is the most common malignancy worldwide, with a high
disease burden. The degradome is the most abundant class of cellular enzymes that play an …
disease burden. The degradome is the most abundant class of cellular enzymes that play an …
Development and validation of a carotid atherosclerosis risk prediction model based on a Chinese population
G Huang, Q Jin, X Tian, Y Mao - Frontiers in cardiovascular medicine, 2022 - frontiersin.org
Purpose This study aimed to identify independent risk factors for carotid atherosclerosis
(CAS) and construct and validate a CAS risk prediction model based on the Chinese …
(CAS) and construct and validate a CAS risk prediction model based on the Chinese …
Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning
H Xu, Y Jiang, Y Wen, Q Liu, HG Du, X Jin - Scientific Reports, 2024 - nature.com
Lumbar disc herniation (LDH) is a common clinical spinal disorder, yet its etiology remains
unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify …
unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify …
A radiographic model predicting the status of the anterior cruciate ligament in varus knee with osteoarthritis
C Liu, J Ge, C Huang, W Wang, Q Zhang… - BMC Musculoskeletal …, 2022 - Springer
Purpose The study aims to investigate the accuracy of different radiographic signs for
predicting functional deficiency of anterior cruciate ligament (ACL) and test whether the …
predicting functional deficiency of anterior cruciate ligament (ACL) and test whether the …
Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive nomogram
L Chen, Z Gan, S Huang, T Liang, X Sun, M Yi… - BMC Musculoskeletal …, 2022 - Springer
Objective The present study attempted to predict blood transfusion risk in spinal tuberculosis
surgery by using a novel predictive nomogram. Methods The study was conducted on the …
surgery by using a novel predictive nomogram. Methods The study was conducted on the …
Predicting surgical site infection risk after spinal tuberculosis surgery: development and validation of a nomogram
L Chen, C Liu, Z Ye, S Huang, T Liang, H Li… - Surgical …, 2022 - liebertpub.com
Background: The purpose of this study was to predict the surgical site infection risk after
spinal tuberculosis surgery based on a nomogram. Patients and Methods: We collected the …
spinal tuberculosis surgery based on a nomogram. Patients and Methods: We collected the …
Reclassified the phenotypes of cancer types and construct a nomogram for predicting bone metastasis risk: A pan‐cancer analysis
M Li, W Yu, C Zhang, H Li, X Li, F Song, S Li… - Cancer …, 2024 - Wiley Online Library
Background Numerous of models have been developed to predict the bone metastasis (BM)
risk; however, due to the variety of cancer types, it is difficult for clinicians to use these …
risk; however, due to the variety of cancer types, it is difficult for clinicians to use these …