Microarray data classification is one of the most emerging clinical applications in the medical c... more Microarray data classification is one of the most emerging clinical applications in the medical community. The classification process takes the detection of relevant and irrelevant probes into account, which is fundamental for subsequent classification. In this thesis, an efficient technique is proposed for the precise classification of microarray genes from the microarray gene expression dataset. The proposed classification technique performs the classification process with the aid of three phases namely, feature extraction, dimensionality reduction, and gene classification. Initially, Principal Component Analysis (PCA) is applied for dimension reduction and significant features are extracted from high dimension microarray data. The original data is projected to the lower dimension for selecting the eigenvector for the co-variance matrix shown cumulative variance up to a label of 100%. After the implementation of PCA, the reduced feature matrix so obtained is divided into two sets ...
National Journal of Physiology, Pharmacy and Pharmacology, 2017
Background: The sudden cardiac death syndrome has a large preponderance in men compared to women ... more Background: The sudden cardiac death syndrome has a large preponderance in men compared to women and that too in older age group. Various population studies have demonstrated four- to seven-fold increase of sudden cardiac death among men compared with women. As coronary event risk increases in post-menopausal women, sudden cardiac death risk increases proportionately. Corrected QT interval measurements may predict the chances of increased risk of sudden cardiac death in an apparently healthy individual. Aims and Objectives: The objective of the study was to find any independent association between age and gender on the QT-corrected interval. Materials and Methods: This study included 48 healthy men and 32 healthy women between 17 and 68 years age divided into three groups: Young (60 years). Standard supine 12 lead electrocardiographic was done in these subjects, and statistical analysis was done. The cutoff points for QTc were ≤450 ms (normal), 451 to 470 ms (borderline), and >47...
International Journal of Recent Technology and Engineering, 2019
This presented review paper encompasses all the ongoing trends of the Artificial Intelligence. Th... more This presented review paper encompasses all the ongoing trends of the Artificial Intelligence. This review evaluates the possibilities of Artificial Intelligence (AI) in social media marketing. This review paper aims to study the potential of AI in the social media marketing. This review paper fulfils the objectives of simulation of AI in the business organisations to enhance marketing which will in return increase sales. The paper aims examines the possibilities and strengths of AI. This review paper will explore the intervention of AI into marketing arena. The review flows from the general to specific. It evaluates the effect of AI on both the society as a whole and also specifically on the business organisation. It assesses the effect of AI on both the Social media and the business.
Background: There is a direct relation between blood pressure and cardiovascular risk. In additio... more Background: There is a direct relation between blood pressure and cardiovascular risk. In addition, QT interval prolongation is associated with increased rate of cardiovascular morbidity and mortality. Thus, it is wise to investigate the correlation of blood pressure and QT interval to find out the risk of sudden death in individuals with increase in blood pressure. Aims and Objectives: The aim of the present study was to see the effect of blood pressure on the QT corrected interval. Materials and Methods: This study included 48 healthy men and 32 healthy women between 17 and 68 years age divided into three groups, young (60 years). The heart rate, systolic, and diastolic blood pressure and mean arterial pressure (MAP) were recorded and a standard supine 12 lead electrocardiographic was done. The individuals were categorized for QTc prolongation, into three gender-specific categories. For women, the cutoff points were ≤450 ms (normal), 451-470 ms (borderline), and >470 ms (prolon...
Microarray data classification is one of the most emerging clinical applications in the medical c... more Microarray data classification is one of the most emerging clinical applications in the medical community. The classification process takes the detection of relevant and irrelevant probes into account, which is fundamental for subsequent classification. In this thesis, an efficient technique is proposed for the precise classification of microarray genes from the microarray gene expression dataset. The proposed classification technique performs the classification process with the aid of three phases namely, feature extraction, dimensionality reduction, and gene classification. Initially, Principal Component Analysis (PCA) is applied for dimension reduction and significant features are extracted from high dimension microarray data. The original data is projected to the lower dimension for selecting the eigenvector for the co-variance matrix shown cumulative variance up to a label of 100%. After the implementation of PCA, the reduced feature matrix so obtained is divided into two sets such as, training and test data set. Feed Forward Neural Network is a train using Back Propagation Algorithm and the performance accuracy of the classifier is tested using the test dataset (untrained samples). The total number of epochs required to reach the degree of accuracy is referred as the convergence rate. To check the efficiency of the algorithm the convergence rate is considered by plotting graphs between numbers of epochs vs. means square error (MSE). The two keys controlling parameters of BP algorithm are learning rate and momentum which affects the accuracy as well as the convergence rate. Varying the values of the parameters various graphs are plotted.
The paper contains the simple idea of Artificial Intelligence on social media and human behaviour... more The paper contains the simple idea of Artificial Intelligence on social media and human behaviour. The major concern of this paper is to show the changing behaviour of human being and Artificial Intelligence usefulness in human life as well as social media. Social media popularity came into high during the last decade due to smart technologies used in mobile and internet. In last 10 years research on AI shows its impact on human life as well as in media marketing.
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