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Clinical baseline matching is a critical step in the process of transforming real-world clinical records into novel medical knowledge, more precise diagnosis and efficacious treatments. Conventionally, the baseline matching was performed by heuristic methods or even manually. Here, a baseline-matching algorithm called "dynamite" was proposed using the dynamic programming technique. This...
Spatial pyramid matching (SPM) has achieved impressive successes in analyzing and classifying images across several domains. SPM computes a similarity measure over images by using bag of words similarity score over different levels of coarseness of the images. In this paper we propose a novel, simple approach based on SPM, differential SPM (DSPM) that incorporates finer differences among images while...
With the increasing age, chronicity of illness, and medication side-effects, the psychiatric patients tend to have higher incidence of commodity and rate of accidents. Falls is the most devastating accidents and the ability to maintain balance is pivotal for the well-beings of this population. It appeared that different patterns of fall risk factors may be evident in psychiatric patients but with...
Cardiovascular disease (CVD) is group of diseases of the heart and blood vessels and a major global cause of death, with more people dying every year from CVDs than from any other cause. Therefore, controlling and preventing CVDs and their complex pathogenesis (i.e., influenced by genetic and lifestyle factors) has gained considerable attention. In this study, we use the LSA algorithm to cluster highly...
The construction and understanding of Gene Regulatory Networks (GRNs) are among the hardest tasks faced by systems biology. To infer gene regulatory networks from gene expression data has been a vigorous research area. It aims to constitute an intermediate step from exploratory to gene expression analysis. In recent years, many reverse engineering methods have been proposed. In practice, different...
In this paper, we propose a novel method for extracting brain region from T1-weighted magnetic resonance imaging. Our proposed method is based on finding a seed point which is located on brain tissue and then perform region growing. In particular, we firstly analyze intensity distributions of different cerebral tissues (including brain, cerebrospinal fluid, scalp and marrow) at middle height. We also...
Initial stages of Alzheimer's disease are easily confused with the normal aging process. Additionally, the methodology involved in the diagnosis by radiologists can be subjective and difficult to document. In this scenario, the development of accessible approaches capable of supporting the early diagnosis of Alzheimer's disease is crucial. Various approaches have been employed with this objective,...
Advances in image processing mean it is now possible to measure heart rate variability (HRV) and respiratory rate without contact. The influence of mental workload and dual tasking on HRV and respiratory rate has not been well studied. The objective of the present study was to quantify the relations between workload and dual tasking and HRV and respiratory rate. We measured the weighted workload score...
This paper describes a non-contact heart rate monitoring system using a microwave Doppler sensor. It can achieve better usability than conventional heart rate sensors, which require direct skin contact. The objective of this work is to detect an instantaneous heart rate using this non-contact system. The instantaneous heart rate can contribute to prevent heart disasters and to detect mental stress...
This paper proposes an ensemble approach based on data partitioning for large-scale DNA motif analysis. Motif prediction using genome-scale dataset is challenging due to high time and space complexity. Existing ensemble approaches, while demonstrated improve performances, are only applicable to small datasets. Our approach called ENSPART first partitions the input dataset into non-overlapping subsets...
It is commonly concluded that health literacy focuses on individual skills to obtain, process and understand health information and services necessary to make appropriate health decisions. To achieve this, an individual first needs to obtain an adequate level of health literacy. However, nowadays, the information that individuals encounter with regards to their health, the amount, credibility and...
Selection of influential genes using gene expression data from normal and disease samples is an important topic in bioinformatics. In this paper, we propose a novel computational method for the problem, which combines gene expression patterns from normal and disease samples with a mathematical model of metabolic networks. This method seeks a set of k genes knockout of which drives the state of the...
MicroRNAs (miRNAs) are small non-coding RNAs of approximately 23 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. miRNAs have been considered as good candidates for early detection or prognosis biomarkers for various diseases. Validated miRNA targets are usually reported in literature, necessitating researchers to manually screen through the related literature...
Effective decision-making to improve healthcare for people depends essentially upon availability of reliable health data. Several developing countries have maternal health indicators lagging behind as compared to international targets set by the UN as Millennium or Sustainable Development Goals. One of the major reasons is poor and non-standardized maternal health record keeping that affect data quality...
The phenomenal growth in the healthcare data has inspired us in investigating robust and scalable models for data mining. For classification problems Information Gain(IG) based Decision Tree is one of the popular choices. However, depending upon the nature of the dataset, IG based Decision Tree may not always perform well as it prefers the attribute with more number of distinct values as the splitting...
In this work, we studied a common problem in Systems Biology, which is the inference or reverse engineering of gene regulatory networks from gene expression data. We addressed this problem using the Boolean formalism, where the expression of a gene is represented only by two possible values: 0 (not expressed) or 1 (expressed). Besides that, our methodology is based on a feature selection approach...
In this paper, we present a vision based method for respiration rate estimation which can automatically adapt to the scene changes. We capture a video of the subjects thoraco-abdominal region and compute optical flow field at each video frame. The optical flow field changes periodically with the periodic chest wall motion. The pattern of the chest wall motion is captured through the estimation of...
A palindrome is a string of the form S = A1 A2 or S = A1 aA2, where A1 and A2 are substrings of S and the reverse of A2 exactly matches with A1. DNA palindromes show direct influence on tumerogenesis due to the formation of DNA palindromes at microRNA genes, which involve in tumor development. Furthermore, RNA palindromes play a crucial role in genomic instability and gene amplification in some human...
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