A Novel Approach to Predict Kidney Detection Using Support Vector Machine
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 8 Issue 4, April 2019

A Novel Approach to Predict Kidney Detection Using Support Vector Machine

Natasha Sharma, Sahil Dalwal

Data Mining is a striking tool for obtaining appreciated information from the huge quantity of available information that can be utilized further for taking the right judgments. Numerous approaches are presented for emerging cost- effective results from the potential data. Mining of data by applying the conditioning rule has been predictably utilized with the objective of the reveling rules in the medical applications. Recognition of different diseases such as kidney, diabetes, and heart attack etc. from huge number of estimates and proofs is an area of great attention for investigators which are not free from false assumptions and unpredictable outcomes. Hence there is terrific requirement to use valuable output resulting from information of patients gathered in our data storehouse. Support Vector Machines, one of the latest approaches for pattern classification, has been widely utilized in large application areas. The objective of this research is to simultaneously optimize parameters and feature subset selection without degrading SVM classification accuracy. We introduce a generic algorithm approach for feature selection named as H-SVD and parameters optimization to solve these kinds of problems. In this paper we design an algorithm that enhances the accuracy of diseases prediction system.

Keywords: SVM, ML

Edition: Volume 8 Issue 4, April 2019

Pages: 1984 - 1991

Share this Article

How to Cite this Article?

Natasha Sharma, Sahil Dalwal, "A Novel Approach to Predict Kidney Detection Using Support Vector Machine", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=19031902, Volume 8 Issue 4, April 2019, 1984 - 1991

124 PDF Views | 73 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'SVM'

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 8, August 2015

Pages: 2016 - 2019

A Survey on Outlier Detection Methods

Rajani S Kadam, Prakash R Devale

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 7, July 2014

Pages: 627 - 632

LoG Feature Extraction Based Photographic Detection

Sujitha B Cherkottu, Smija Das

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1907 - 1913

Human Gait Recognition Using Multisvm Classifier

Saranya Sasidharan, Smitha K S, Minu Thomas

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015

Pages: 1331 - 1334

Survey on Crawler for Deep-Web Interfaces

Devendra Hapase, Prof. M. D. Ingle

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 3173 - 3178

An Overview of Pattern Recognition Applications and Its Approaches: A Review

Rajleen Kaur

Share this Article

Similar Articles with Keyword 'ML'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 1891 - 1893

Open Daylight Integration with Openstack

Basivireddy D

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 3021 - 3028

Smart Type-Ahead Search in XML

Supriya. N. Chaudhari, Vaishali M. Deshmukh

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 2541 - 2544

Reversible Data Embedding using F5 Algorithm

Sanjivani Koli, N. B. Pokale

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014

Pages: 950 - 953

Digital Design Dispensation for Digital Radiography System

H. Gomathi, M. Narayanan

Share this Article
Top