AIMC Topic: Algorithms

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An intelligent prognostic system for analyzing patients with paraquat poisoning using arterial blood gas indexes.

Journal of pharmacological and toxicological methods
The arterial blood gas (ABG) test is used to assess gas exchange in the lung, and the acid-base level in the blood. However, it is still unclear whether or not ABG test indexes correlate with paraquat (PQ) poisoning. This study investigates the predi...

Two-Way Regularized Fuzzy Clustering of Multiple Correspondence Analysis.

Multivariate behavioral research
Multiple correspondence analysis (MCA) is a useful tool for investigating the interrelationships among dummy-coded categorical variables. MCA has been combined with clustering methods to examine whether there exist heterogeneous subclusters of a popu...

Artificial Neural Networks approach to pharmacokinetic model selection in DCE-MRI studies.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: In pharmacokinetic analysis of Dynamic Contrast Enhanced MRI data, a descriptive physiological model should be selected properly out of a set of candidate models. Classical techniques suggested for this purpose suffer from issues like comput...

An information-based machine learning approach to elasticity imaging.

Biomechanics and modeling in mechanobiology
An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the Autoprogressive method that was originally developed for civil engineering applications for ...

Virtual wall-based haptic-guided teleoperated surgical robotic system for single-port brain tumor removal surgery.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
This article presents a haptic-guided teleoperation for a tumor removal surgical robotic system, so-called a SIROMAN system. The system was developed in our previous work to make it possible to access tumor tissue, even those that seat deeply inside ...

Applications of Spectral Gradient Algorithm for Solving Matrix ℓ2,1-Norm Minimization Problems in Machine Learning.

PloS one
The main purpose of this study is to propose, then analyze, and later test a spectral gradient algorithm for solving a convex minimization problem. The considered problem covers the matrix ℓ2,1-norm regularized least squares which is widely used in m...

Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback.

PloS one
Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automati...

Adaptive exponential synchronization of complex-valued Cohen-Grossberg neural networks with known and unknown parameters.

Neural networks : the official journal of the International Neural Network Society
The complex-valued Cohen-Grossberg neural network is a special kind of complex-valued neural network. In this paper, the synchronization problem of a class of complex-valued Cohen-Grossberg neural networks with known and unknown parameters is investi...

Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

IEEE transactions on bio-medical engineering
GOAL: We use noninvasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological (EP) model for predicting the response to different pacing conditions.