AIMC Topic: Machine Learning

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Sleep snoring detection using multi-layer neural networks.

Bio-medical materials and engineering
Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other respiratory sleep disorders. In general, audio signal processing such as snoring sound analysis uses the frequency characteristics of the signal. Recently...

Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.

Bio-medical materials and engineering
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...

Automatic segmentation in image stacks based on multi-constraint level-set evolution.

Bio-medical materials and engineering
Contour extraction of image stacks is a basic task in medical modeling. The existing level-set methods usually suffer from some problems (e.g. serious errors around sharp features, incorrect split of topology and contour occlusions). This paper propo...

Image manifold revealing for breast lesion segmentation in DCE-MRI.

Bio-medical materials and engineering
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on i...

Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction.

IEEE/ACM transactions on computational biology and bioinformatics
Proline residues are common source of kinetic complications during folding. The X-Pro peptide bond is the only peptide bond for which the stability of the cis and trans conformations is comparable. The cis-trans isomerization (CTI) of X-Pro peptide b...

A Machine Learning Approach for Accurate Annotation of Noncoding RNAs.

IEEE/ACM transactions on computational biology and bioinformatics
Searching genomes to locate noncoding RNA genes with known secondary structure is an important problem in bioinformatics. In general, the secondary structure of a searched noncoding RNA is defined with a structure model constructed from the structura...

Neuropsychological test selection for cognitive impairment classification: A machine learning approach.

Journal of clinical and experimental neuropsychology
INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is clinically relevant. The aim of this research was to determine the fewest number of clinical measures required to accurately classify participants as h...

Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning.

Journal of molecular recognition : JMR
The identification of protein-protein interactions is vital for understanding protein function, elucidating interaction mechanisms, and for practical applications in drug discovery. With the exponentially growing protein sequence data, fully automate...

Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Studies in health technology and informatics
Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has advanced recent research focus in data entry associated with human factors. The debate on structure...

Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

Studies in health technology and informatics
Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text ar...