Publications by authors named "Fanshuo Meng"
Article Synopsis
- The study aimed to identify independent risk factors for marginal positivity after radical prostatectomy and create a predictive model using Bayesian network analysis.
- Data from 238 patients was analyzed, revealing significant risk factors such as PSA density, Gleason scores, and preoperative T staging, with a model accuracy indicated by various area under curve (AUC) values.
- The developed predictive model proved to be accurate and clinically valuable for assessing positive surgical margins following radical prostatectomy.
Introduction: Alzheimer's disease (AD) is a complex neurodegenerative disease with high heritability. Compared to autosomes, a higher proportion of disorder-associated genes on X chromosome are expressed in the brain. However, only a few studies focused on the identification of the susceptibility loci for AD on X chromosome.
View Article and Find Full Text PDFTensor Multi-Clustering Parallel Intelligent Computing Method Based on Tensor Chain Decomposition.
Comput Intell Neurosci
September 2022
Adaptable methods for representing higher-order data with various features and high dimensionality have been demanded by the increasing usage of multi-sensor technologies and the emergence of large data sets. Arrays of multi-dimensional data, known as tensors, can be found in a variety of applications. Standard data that depicts things from a single point of view lacks the semantic richness, utility, and complexity of multi-dimensional data.
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