Impact of tooth loss and patient characteristics on coronary artery calcium score classification and prediction
This study, for the first time, explores the integration of data science and machine learning
for the classification and prediction of coronary artery calcium (CAC) scores. It focuses on …
for the classification and prediction of coronary artery calcium (CAC) scores. It focuses on …
[HTML][HTML] Tensor decomposition of largest convolutional eigenvalues reveals pathologic predictive power of RhoB in rectal cancer biopsy
RhoB protein belongs to the Rho GTPase family, which plays an important role in governing
cell signaling and tissue morphology. Its expression is known to have implications in …
cell signaling and tissue morphology. Its expression is known to have implications in …
Weeks-ahead epidemiological predictions of varicella cases from univariate time series data applying artificial intelligence
DA Wood - Infectious Diseases & Immunity, 2024 - mednexus.org
Background:" Chickenpox" is a highly infectious disease caused by the varicella-zoster
virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics …
virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics …
TCP-ARMA: A Tensor-Variate Time Series Forecasting Method
Y An, D Wang, L Chen, X Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Analysis of complex data structures in the form of matrix or tensor format data has gained
immense popularity in diverse fields. However, forecasting time series based on high-order …
immense popularity in diverse fields. However, forecasting time series based on high-order …
A One-Step Physiological Status Assessment Method Fusing Subject-Variant Information
Y An, S Chen, X Zhang - IEEE Transactions on Automation …, 2022 - ieeexplore.ieee.org
The individual physiological difference has been recognized as one of the major problems
while assessing subjects using multiple physiological data modeling and fusion techniques …
while assessing subjects using multiple physiological data modeling and fusion techniques …
Data distribution and tensor influence analysis of different clustering methods
H Zhang, H Ye, D Shi, Z Xue, W Fan, F Meng - 2023 - researchsquare.com
At present, people are in the era of big data, which is changing people's views of the world.
However, it has the characteristics of various types, huge scale, and complex relationships …
However, it has the characteristics of various types, huge scale, and complex relationships …
Tucker Product-Based Dynamical Systems
C Chen - Tensor-Based Dynamical Systems: Theory and …, 2024 - Springer
The Tucker product-based dynamical system (TPDS) representation was first introduced by
Rogers et al.[Adv. Neural Inf. Process. Syst.] in 2013. The representation is a generalization …
Rogers et al.[Adv. Neural Inf. Process. Syst.] in 2013. The representation is a generalization …
Tooth Loss, Patient Characteristics, and Coronary Artery Calcification
This study, for the first time, explores the integration of data science and machine learning
for the classification and prediction of coronary artery calcium (CAC) scores, investigating …
for the classification and prediction of coronary artery calcium (CAC) scores, investigating …
A physiological status diagnosis method using tensor-based regularization
Y An, S Chen, X Zhang - 2022 IEEE 18th International …, 2022 - ieeexplore.ieee.org
Physiological status diagnosis plays an important role in clinical practice. Different personal
information hinders the practical application heavily. To address this issue, we propose a …
information hinders the practical application heavily. To address this issue, we propose a …