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Alzheimer's disease detection via automatic 3D caudate nucleus segmentation using coupled dictionary learning with level set formulation
• Our aim is to develop a new Alzheimer disease classification method.• A new combination of a level set and a dictionary learning method is proposed.• The results shows the superiority of the proposed method over the State-of-the-art methods. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 26, 2016 Category: Bioinformatics Authors: Saif Dawood Salman Al-shaikhli, Michael Ying Yang, Bodo Rosenhahn Source Type: research

Evaluation of foot position and orientation as manipulated variables to control external knee adduction moments in leg extension training
• External knee adduction moments need to be avoided in leg extension training.• Musculoskeletal models are used to estimate joint moments.• Foot position and orientation in frontal plane can influence knee adduction moments.• Leg extension training can be improved with an active control of adduction moments.• Foot position and orientation are suitable as manipulated variables. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Melanie Kolditz, Thivaharan Albin, Dirk Abel, Alessandro Fasse, Gert-Peter Br üggemann, Kirsten Albracht Source Type: research

AVNM: a voting based novel mathematical rule for image classification
• AVNM automates the selection of the number of nearest neighbors for classification.• AVNM is based on the concept of sub-space reduction based on features.• Experiments are performed over UCI datasets and medical dataset of validation.• Outperforms in respect of accuracy with state-of-art knn algorithm and its variants. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Ankit Vidyarthi, Namita Mittal Source Type: research

Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
• Feature ranking based feature selection is introduced for high-dimensional pattern recognition.• The raw feature vectors are obtained using voxels within statistically obtained 3D masks.• Dimensionality reduction of ranked features is provided by determining optimum number of the top ranked features.• Classification error is used to determine the optimal number of top ranked features. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Iman Beheshti, Hasan Demirel, Alzheimer's Disease Neuroimaging Initiative Source Type: research

Applying data mining techniques for increasing implantation rate by selecting best sperms for intra-cytoplasmic sperm injection treatment
Aspiration of a good-quality sperm during intracytoplasmic sperm injection (ICSI) is one of the main concerns. Understanding the influence of individual sperm morphology on fertilization, embryo quality, and pregnancy probability is one of the most important subjects in male factor infertility. Embryologists need to decide the best sperm for injection in real time during ICSI cycle. Our objective is to predict the quality of zygote, embryo, and implantation outcome before injection of each sperm in an ICSI cycle for male factor infertility with the aim of providing a decision support system on the sperm selection. (Source:...
Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Seyed Abolghasem Mirroshandel, Fatemeh Ghasemian, Sara Monji-Azad Source Type: research

Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
In this study, the TQWT is introduced for first time in the Epileptic seizure detection with time spectral features in conjunction with Bagging.• Efficacy of the method is confirmed by statistical and graphical analyses.• The performance of the proposed scheme, compared to the existing ones is promising. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Ahnaf Rashik Hassan, Siuly Siuly, Yanchun Zhang Source Type: research

Evaluation of model-based methods in estimating respiratory mechanics in the presence of variable patient effort
• A comparison of different methods for respiratory mechanics estimations during spontaneous and/or asynchronous breathing.• Models are evaluated using clinical data with samples of breathing cycles before and after sedation.• Different models have advantages and disadvantages, and the importa nce of these depends on the application for which respiratory mechanics is being used.• In general, a combined method of iterative interpolative pressure reconstruction and stacking multiple breaths has best performance over the dataset. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 22, 2016 Category: Bioinformatics Authors: Daniel P. Redmond, Yeong Shiong Chiew, Vincent Major, J. Geoffrey Chase Source Type: research

Classifying smoking urges via machine learning
• We examine different machine learning approaches to classify smoking urges.• We use situational features associated with urges to smoke during a quit attempt.• Feature selection algorithms make possible to obtain high classification rates.• The classification tree method provides the best classification results. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 22, 2016 Category: Bioinformatics Authors: Antoine Dumortier, Ellen Beckjord, Saul Shiffman, Ervin Sejdi ć Source Type: research

Transient electro-magneto-hydrodynamic two-phase blood flow and thermal transport through a capillary vessel
• Using electromagnetic field, mathematical modeling is obtained for transient two-phase flow and thermal transport through a capillary vessel.• The motion of blood and particles are controlled by regulating the electrokinetic and magnetic parameter.• The thermal transport of blood and particl es are controlled by adjusting Joule heating parameter and Eckert number.• For a case of sinusoidal pressure gradient, the blood has a pulsating motion and the reverse flow is occurring for certain values of the K parameter and of the time t. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 22, 2016 Category: Bioinformatics Authors: I.A. Mirza, M. Abdulhameed, D. Vieru, S. Shafie Source Type: research

A comparison of classification methods as diagnostic system: A case study on skin lesions
Numerous classification methods are currently available, but most of them were performed on different dataset not on same. In this paper, different classification techniques were used for a diagnostic system on different skin lesions for the same data, which gives a consistency for the data to have more accurate and better results. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 22, 2016 Category: Bioinformatics Authors: Suhail M. Odeh, Abdel Karim Mohamed Baareh Source Type: research

Classification-based quantitative analysis of stable isotope labeling by amino acids in cell culture (SILAC) data
• A novel PSO classification-based approach to dealing with SILAC data is introduced.• It depends mainly on the protein ratio summary not restricted only to the proteins with two or more peptide hits.• No addition correction for multiple comparisons is necessary.• The developed methods are i mplemented in the R package cSILAC. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 21, 2016 Category: Bioinformatics Authors: Seongho Kim, Nicholas Carruthers, Joohyoung Lee, Sreenivasa Chinni, Paul Stemmer Source Type: research

Heat transfer analysis on peristaltically induced motion of particle-fluid suspension with variable viscosity: clot blood model
• Heat transfer analysis on peristaltic particle-fluid motion is proposed.• The effects of variable viscosity and clot blood is also considered.• Analytic solutions are obtained for fluid phase and particle phase.• The influence of clot enhances the pressure rise significantly.• Temperatur e profile increases due to greater effects of variable viscosity. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 19, 2016 Category: Bioinformatics Authors: M.M. Bhatti, A. Zeeshan, R. Ellahi Source Type: research

Fractional order integration and fuzzy logic based filter for denoising of echocardiographic image
• A simple yet efficient method for denoising of echocardiography images which are inherently corrupted with speckle noise.• Our algorithm performs denoising and edge/structure preservation simultaneously.• The results showed that our proposed method outperform existing state-of-the-art techni ques. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 13, 2016 Category: Bioinformatics Authors: Ayesha Saadia, Adnan Rashdi Source Type: research

Log-normal frailty models fitted as poisson generalized linear mixed models
• use a Poisson generalized linear mixed model to fit a frailty model to clustered survival data.• fix the number of pieces (baseline hazard) and explode the dataset based on the chosen pieces.• realization via %PCFrailty macro in SAS.• rule of thumb: take at least 10 events per piece.• ap proach allows more flexibility in frailty modelling. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 13, 2016 Category: Bioinformatics Authors: Katharina Hirsch, Andreas Wienke, Oliver Kuss Source Type: research

Pupillary transient responses to within-task cognitive load variation
• Pupillary responses to instantaneous changes of cognitive load were characterised.• Increasing within-task rate of cognitive loading increases rate of pupil dilation.• Pupil size can measure within-task changes of cognitive load consistently. (Source: Computer Methods and Programs in Biomedicine)
Source: Computer Methods and Programs in Biomedicine - September 12, 2016 Category: Bioinformatics Authors: Hoe Kin Wong, Julien Epps Source Type: research