AIMC Topic: Algorithms

Clear Filters Showing 22071 to 22080 of 28713 articles

Automatic detection and measurement of nuchal translucency.

Computers in biology and medicine
In this paper we propose a new methodology to support the physician both to identify automatically the nuchal region and to obtain a correct thickness measurement of the nuchal translucency. The thickness of the nuchal translucency is one of the main...

Orthogonal Procrustes Analysis for Dictionary Learning in Sparse Linear Representation.

PloS one
In the sparse representation model, the design of overcomplete dictionaries plays a key role for the effectiveness and applicability in different domains. Recent research has produced several dictionary learning approaches, being proven that dictiona...

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.

Computer methods and programs in biomedicine
Cardiovascular disease is one of the most rampant causes of death around the world and was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, is a widespread cardiovascular malady entailing high mortality rates....

A novel multi-target regression framework for time-series prediction of drug efficacy.

Scientific reports
Excavating from small samples is a challenging pharmacokinetic problem, where statistical methods can be applied. Pharmacokinetic data is special due to the small samples of high dimensionality, which makes it difficult to adopt conventional methods ...

PCM-SABRE: a platform for benchmarking and comparing outcome prediction methods in precision cancer medicine.

BMC bioinformatics
BACKGROUND: Numerous publications attempt to predict cancer survival outcome from gene expression data using machine-learning methods. A direct comparison of these works is challenging for the following reasons: (1) inconsistent measures used to eval...

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

IEEE transactions on pattern analysis and machine intelligence
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques:...

Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.

IEEE transactions on cybernetics
Accurate identification and understanding informative feature is important for early Alzheimer's disease (AD) prognosis and diagnosis. In this paper, we propose a novel discriminative sparse learning method with relational regularization to jointly p...

Predicting probable Alzheimer's disease using linguistic deficits and biomarkers.

BMC bioinformatics
BACKGROUND: The manual diagnosis of neurodegenerative disorders such as Alzheimer's disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological e...

Statistical optimization and artificial neural network modeling for acridine orange dye degradation using in-situ synthesized polymer capped ZnO nanoparticles.

Journal of colloid and interface science
ZnO NPs were synthesized by a prudent green chemistry approach in presence of polyacrylamide grafted guar gum polymer (pAAm-g-GG) to ensure uniform morphology, and functionality and appraised for their ability to degrade photocatalytically Acridine O...

Protein sequence-similarity search acceleration using a heuristic algorithm with a sensitive matrix.

Journal of structural and functional genomics
Protein database search for public databases is a fundamental step in the target selection of proteins in structural and functional genomics and also for inferring protein structure, function, and evolution. Most database search methods employ amino ...