Application of Machine Learning Predictive Models for Early Detection of Glaucoma Using Real World Data
Early detection of glaucoma is critically important for the prevention of irreversible blindness.
We developed a predictive analytic framework through temporal data carpentry and …
We developed a predictive analytic framework through temporal data carpentry and …
Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis
D Xu, S Matinmehr, A Sawchuk, X Luo - International Journal of Data …, 2024 - Springer
Despite the widespread application of machine learning models and feature selection
methods to identify important clinical features in electronic health records (EHR) for disease …
methods to identify important clinical features in electronic health records (EHR) for disease …
Weak Penalty Decomposition Algorithm for Sparse Optimization in High Dimensional Space
K Spiridonov, S Sidorov, M Pleshakov - International Conference on …, 2022 - Springer
Many machine learning problems may be reduced to finding a sparse approximation to a
loss function minimum, ie to finding the infimum of a given convex function among all …
loss function minimum, ie to finding the infimum of a given convex function among all …
Convergence analysis of penalty decomposition algorithm for cardinality constrained convex optimization in hilbert spaces
M Pleshakov, S Sidorov, K Spiridonov - International Conference on …, 2020 - Springer
The paper examines an algorithm for finding approximate sparse solutions of convex
cardinality constrained optimization problem in Hilbert spaces. The proposed algorithm uses …
cardinality constrained optimization problem in Hilbert spaces. The proposed algorithm uses …