Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models

B Saravi, F Hassel, S Ülkümen, A Zink… - Journal of Personalized …, 2022 - mdpi.com
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 …

[PDF][PDF] Machine learning in transfusion medicine: A scoping review

S Maynard, J Farrington, S Alimam, H Evans, K Li… - …, 2023 - discovery.ucl.ac.uk
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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …