International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



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

A Differential Diagnosis in Medical Field Using SOA and Classifier Techniques: A Review

Rashmi M. Jadhav, Roshani Ade

Recent diagnosis in medical field reveals that the probable causes of failure in patients treatment is the misdiagnosis factor that leads to inadequate treatment of the patients. This paper focuses on the misdiagnosis attribute that if mined properly may produce accurate results. The data obtained in hospitals is vast and contains enormous amount of information. Findings for the patients symptoms is based on the current condition of the patient but in some cases the patients medical history also plays a crucial role. The misdiagnosis attribute is taken into consideration in this paper. The system developed predicts the probability of a disease using an algorithm that combines the key features of neural networks, large memory storage and retrieval and k-NN classifier. Thus diagnosis of a patients ailment can be made effectively using such algorithm.

Keywords: Data Mining, Diagnosis, Service-oriented architecture SOA, knowledge discovery and symptoms

Edition: Volume 3 Issue 11, November 2014

Pages: 1708 - 1710


How to Cite this Article?

Rashmi M. Jadhav, Roshani Ade, "A Differential Diagnosis in Medical Field Using SOA and Classifier Techniques: A Review", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141251, Volume 3 Issue 11, November 2014, 1708 - 1710

32 PDF Views | 31 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Data Mining'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1358 - 1366

Quality Prediction of Red Wine based on Different Feature Sets Using Machine Learning Techniques

Nikita Sharma

Share this article

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 2373 - 2376

An Ontology-Based Text Mining Method to Develop D-Matrix

Poonam Jagdale, Devendra P Gadekar

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 1422 - 1426

Incremental CFP-Tree Optimization For Efficient Representative Pattern Set Mining

Vivek Satpute, Prof. Digambar Padulkar

Share this article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 708 - 710

A Review on Efficient Algorithms for Mining High Utility Item Sets

Nutan Sarode, Devendra Gadekar

Share this article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 709 - 711

Survey on K-Nearest Neighbor Categorization over Semantically Protected Encrypted Relational Information

Pranali D. Desai, Vinod S. Wadne

Share this article



Similar Articles with Keyword 'Diagnosis'

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 2373 - 2376

An Ontology-Based Text Mining Method to Develop D-Matrix

Poonam Jagdale, Devendra P Gadekar

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

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014

Pages: 968 - 971

Medical Information Retrieval in Mobile Devices

Bibek Raj Dhakal, Prof. Dr. A. Damodaram

Share this article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014

Pages: 772 - 778

Framework using Diagnosis and CBIR System for Identifying Contrast Agent Concentration

Vinitha Kumari.G, Shivamurthy.R.C

Share this article

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

Pages: 1889 - 1892

Future Prediction For Heart Attack Problem Based on Most Appropriate Attribute value

Amit Kisan Pagare, Vijay Kumar Verma

Share this article
Top