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Gene expression data are widely used in classification tasks for medical diagnosis. Data scaling is recommended and helpful for learning the classification models. In this study, we propose a data scaling algorithm to transform the data uniformly to an appropriate interval by learning a generalized logistic function to fit the empirical cumulative density function of the data. The proposed algorithm...
mHealth is a growing field that enables individuals to monitor their health status and facilitates the sharing of medical records with physicians and between hospitals anytime and anywhere. Unfortunately, smartphones and mHealth applications are still vulnerable to a wide range of security threats due to their portability and weaknesses in management and design. Nevertheless, mHealth users are becoming...
There is an undisputed need for increased portability and flexibility in diagnostic ultrasound imaging due to the continuously evolving point of care (POC) clinical applications. In order to meet this growing need numerous portable ultrasound systems have been proposed. The design of portable systems is a very challenging task, especially for volumetric imaging system which utilize transducers with...
In external beam radiotherapy (EBRT), one of the major challenges is to compensate for target motion induced by patient's respiration and organ motion. The accurate delivery of radiation to the moving targets (tumors) requires new innovative technologies and methods to avoid excessive irradiation of healthy tissue. Recently, we developed a tracking method for target motion compensations, which includes...
This paper introduces the use of a modified feedforward neural network to cope with the problem of predicting protein functions. Since this kind of classification task is inherently hierarchical, this work proposes the use of two different architectures for the modified feedforward neural network, both mimicking the hierarchical nature of the classes (protein functions) to be predicted. The first...
In most cases, cervical cancer (CxCa) develops as a result of underestimated abnormalities present in cytology via the test Papanicolaou (Pap test). Although it is the sole test that has proved its value for cancer prevention, Pap test is prone to human errors as it is performed via the microscope and requires skilled personnel. Consequently, molecular techniques have emerged in the recent years,...
In this article we describe a 3D methodology to characterize dorsal surface for the diagnosis of idiopathic scoliosis and its implementation. This characterization is based on the set of external and internal parameters recommended by SOSORT consortium. Parameterized 3D model of the spine and 3D optical scans of dorsal surfaces are used to generate patient-specific surface model for the analysis....
Cyanidin, as one important plant pigment, was theoretically (at M05-2X/6-311+G(d, p) level of theory) investigated for its ability to scavenge potentially, highly damaging hydroxyl radical. The applied method successfully reproduces the bond dissociation enthalpy (BDE), the ionization potential (IP) and proton affinity (PA). The HAT mechanism is most favorable reaction pathway for antioxidative action...
Restoring vision is no longer impossible as a result of recent advances in neural interfaces. Successful demonstrations of retinal implants motivate the development of more effective visual prostheses. The thalamic Lateral Geniculate Nucleus (LGN) is one potential deep-brain interfacing site for visual prostheses. A main challenge in developing thalamic as well as other visual prostheses is optimizing...
The UV/Vis properties of 14 naturally occurring flavonoids, including flavones, flavonols, and isoflavones, were investigated. The TDDFT approach in combination with the B3LYP method and 6–311+G(d, p) basis set was applied. To avoid the Kohn-Sham orbitals, whose shapes are misleading when used to interpret and describe electronic transitions, the natural bond orbital analysis was applied. Taking into...
Prediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing usage of internet, it became easier and more valuable to fetch and process internet search query data. There are two significant platforms that people widely use, Google and Wikipedia. In both platforms, access logs are available which means that we can see how often any query/article...
Computational methods such as clustering, classification and regression methods can be applied in immunoin-formatics to construct predictive models to reveal relationships between antibody features and their functional outcomes. This paper studies the effect of antibody features and the functional outcome obtained on RV144 vaccine recipients. The RV144 vaccine data set contains 100 data samples in...
The aim of this study is to determine the internal reliability volume of movements of top players during matches measured using a software system Tracking Motion. The research was conducted on a sample of 23 players, which were recorded during six official matches. The variables were administered to assess the internal variability of movement of top players during the match measured by Tracking Motion...
Although micro-anastomosis is the most commonly performed procedure for reconnecting two blood vessels through sutures, thrombus formation and subsequently anastomotic failure remains one of the most serious clinical complications. An important stimulus to thrombus formation is the altered hemodynamics with abnormal Wall Shear Stress (WSS) distribution on endothelial cells generated by the presence...
Significant number of muscles can be assumed to be of longitudinal type where the length is much higher than its cross-section. Usual motion of the longitudinal muscles is axial due to its contraction and dilatation. Our aim is to investigate the axial vibration of such muscles. The artificial muscle is formed whose physical model is a clamped-free beam. Characteristics of the muscle material are...
Gene-gene interaction is an important factor to consider in selecting genes in genotype data or microarray expression data for association with diseases. However current definitions of gene-gene interaction are not very clear and accurate. An inequality is proved in this paper and a new definition of gene-gene interaction: conditional independence and redundancy based definition of gene-gene interaction...
The study of motifs plays a central role in recognition of relations among components in biological networks such that gene regulation, protein interaction, and metabolic networks. Since these relations are not well-known, motifs inference appears as a way for understanding the principles involved in the relationship between cellular components. On the other hand, motifs search is a basic step for...
In this work we present the decision support of the EMBalance platform. EMBalance is a platform for the management of balance disorders in terms of diagnosis, treatment and evolution. The EMBalance platform aims to extend existing but generic and currently uncoupled balance modelling activities leading to a multi-scale and patient-specific balance model, which will be incorporated in a Decision Support...
The aim of this study is to investigate the effect of mallear and incudal ligaments to the tympanic membrane and the stapes footplate displacement in a finite element model of the middle ear. Three cases were simulated: one without the ligaments, one including the posterior incudal and the anterior mallear ligaments and one including in addition the superior mallear and incudal ligaments. A maximum...
High false alarm rates in intensive care units (ICUs) cause desensitization among care providers, thus risking patients' lives. Providing early detection of true and false cardiac arrhythmia alarms can alert hospital personnel and avoid alarm fatigue, so that they can act only on true life-threatening alarms, hence improving efficiency in ICUs. However, suppressing false alarms cannot be an excuse...
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