Muktevi Srivenkatesh | Gitam University,Visakhapatnam,India (original) (raw)

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Papers by Muktevi Srivenkatesh

Research paper thumbnail of Prediction of Cardiovascular Disease using Machine Learning Algorithms

Background/Aim: Healthcare is an unavoidable assignment to be done in human life. Cardiovascular ... more Background/Aim: Healthcare is an unavoidable assignment to be done in human life. Cardiovascular sickness is a general class for a scope of infections that are influencing heart and veins. The early strategies for estimating the cardiovascular sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and it doesn't require information pre-handling systems like the expulsion of noise data, evacuation of missing information, filling default esteems if applicable and classification of attributes for prediction and decision making at different levels. The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a cardiovascular disease or not and to pr...

Research paper thumbnail of Prediction of Breast Cancer Disease using Machine Learning Algorithms

Background/Aim: Breast Cancer is the most often identified cancer among women and major reason fo... more Background/Aim: Breast Cancer is the most often identified cancer among women and major reason for increasing mortality rate among women. The early strategies for estimating the breast cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered breast cancer data set from kaggle and we have done pre-processing tasks for missing values .We have no missing data values from the considered data set .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a breast cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Random forest, Naive Bayes classifier a...

Research paper thumbnail of Some studies on reducts in object oriented rough set models

I hereby declare that the Research work which is being presented in this thesis entitled “SOME ST... more I hereby declare that the Research work which is being presented in this thesis entitled “SOME STUDIES ON REDUCTS IN OBJECT-ORIENTED ROUGH SET MODELS ” during the years 2006-2011, in fulfillment of the requirement for the award of degree of Doctor of Philosophy submitted to the Department of Computer Science and Engineering, Acharaya Nagarjuna University, Guntur is an authentic record of my own research work carried out under the guidance and supervision of Prof.Prasad Reddy.P.V.G.D, Department of Computer Science and Systems Engineering, College of Engineering(A), Andhra University, Visakhapatnam.

Research paper thumbnail of Prediction of Prostate Cancer using Machine Learning Algorithms

International Journal of Recent Technology and Engineering

Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main... more Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main cause of deaths worldwide. The early strategies for estimating the prostate cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and we have done pre-processing tasks for missing values .We have three missing data values in compactness attribute and two missing values in fractal dimension were replaced by mean of their column values .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a prostate cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the indi...

Research paper thumbnail of Performance Evolution of Different Machine Learning Algorithms for Prediction of Liver Disease

International Journal of Innovative Technology and Exploring Engineering

Liver malady is an overall medical issue that is related with different inconveniences and high m... more Liver malady is an overall medical issue that is related with different inconveniences and high mortality. It is of basic significance that illness be recognized before such huge numbers of these lives can be spared. The phases of liver ailment are a significant viewpoint for focused treatment. It is a terribly troublesome undertaking for therapeutic analysts to foresee the disease inside the beginning times on account of sensitive manifestations. Generally the side effects become evident once it's past the point of no return. To beat this issue, we have liver infection forecast. Liver sickness might be distinguished with incalculable order systems, and these have been classified the utilization forecast of a number highlights and classifier blends. In this investigation, we applied five sort of classifiers that is Naïve Bayes, logistic regression, support vector machines, Random Forest, K Nearest Neighbour for the examination of liver malady. The classification exhibitions are ...

Research paper thumbnail of Prediction of Cardiovascular Disease using Machine Learning Algorithms

Background/Aim: Healthcare is an unavoidable assignment to be done in human life. Cardiovascular ... more Background/Aim: Healthcare is an unavoidable assignment to be done in human life. Cardiovascular sickness is a general class for a scope of infections that are influencing heart and veins. The early strategies for estimating the cardiovascular sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and it doesn't require information pre-handling systems like the expulsion of noise data, evacuation of missing information, filling default esteems if applicable and classification of attributes for prediction and decision making at different levels. The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a cardiovascular disease or not and to pr...

Research paper thumbnail of Prediction of Breast Cancer Disease using Machine Learning Algorithms

Background/Aim: Breast Cancer is the most often identified cancer among women and major reason fo... more Background/Aim: Breast Cancer is the most often identified cancer among women and major reason for increasing mortality rate among women. The early strategies for estimating the breast cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered breast cancer data set from kaggle and we have done pre-processing tasks for missing values .We have no missing data values from the considered data set .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a breast cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Random forest, Naive Bayes classifier a...

Research paper thumbnail of Some studies on reducts in object oriented rough set models

I hereby declare that the Research work which is being presented in this thesis entitled “SOME ST... more I hereby declare that the Research work which is being presented in this thesis entitled “SOME STUDIES ON REDUCTS IN OBJECT-ORIENTED ROUGH SET MODELS ” during the years 2006-2011, in fulfillment of the requirement for the award of degree of Doctor of Philosophy submitted to the Department of Computer Science and Engineering, Acharaya Nagarjuna University, Guntur is an authentic record of my own research work carried out under the guidance and supervision of Prof.Prasad Reddy.P.V.G.D, Department of Computer Science and Systems Engineering, College of Engineering(A), Andhra University, Visakhapatnam.

Research paper thumbnail of Prediction of Prostate Cancer using Machine Learning Algorithms

International Journal of Recent Technology and Engineering

Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main... more Background/Aim: Prostate cancer is regarded as the most prevalent cancer in the word and the main cause of deaths worldwide. The early strategies for estimating the prostate cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered informational collection from kaggle and we have done pre-processing tasks for missing values .We have three missing data values in compactness attribute and two missing values in fractal dimension were replaced by mean of their column values .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a prostate cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the indi...

Research paper thumbnail of Performance Evolution of Different Machine Learning Algorithms for Prediction of Liver Disease

International Journal of Innovative Technology and Exploring Engineering

Liver malady is an overall medical issue that is related with different inconveniences and high m... more Liver malady is an overall medical issue that is related with different inconveniences and high mortality. It is of basic significance that illness be recognized before such huge numbers of these lives can be spared. The phases of liver ailment are a significant viewpoint for focused treatment. It is a terribly troublesome undertaking for therapeutic analysts to foresee the disease inside the beginning times on account of sensitive manifestations. Generally the side effects become evident once it's past the point of no return. To beat this issue, we have liver infection forecast. Liver sickness might be distinguished with incalculable order systems, and these have been classified the utilization forecast of a number highlights and classifier blends. In this investigation, we applied five sort of classifiers that is Naïve Bayes, logistic regression, support vector machines, Random Forest, K Nearest Neighbour for the examination of liver malady. The classification exhibitions are ...