Main Reference PaperA Machine Learning Approach for Identifying Disease-Treatment Relations in Short Texts, IEEE Transactions on Knowledge and Data Engineering, June 2011
  • The proposed methodology obtains reliable outcomes that could be integrated in an application to be used in the medical care domain. The potential value of this paper stands in the ML settings that the methodology proposes and in the fact that it outperforms previous results on the same data set.

+ Description
  • The proposed methodology obtains reliable outcomes that could be integrated in an application to be used in the medical care domain. The potential value of this paper stands in the ML settings that the methodology proposes and in the fact that it outperforms previous results on the same data set.

  • To integrate the computer based systems into healthcare fields,

  • To build an application that is capable of identifying and disseminating healthcare information.

  • To identifies semantic relations that exist between diseases and treatments.

+ Aim & Objectives
  • To integrate the computer based systems into healthcare fields,

  • To build an application that is capable of identifying and disseminating healthcare information.

  • To identifies semantic relations that exist between diseases and treatments.

  • The contributed work of the project is, it would like to extend the experimental methodology when the first setting, that is it extracts only relation contain information, is applied for the relation identification, To use additional sources of information as representation techniques, and to focus more on ways to integrate the research discoveries in a framework to be deployed to consumers.

+ Contribution
  • The contributed work of the project is, it would like to extend the experimental methodology when the first setting, that is it extracts only relation contain information, is applied for the relation identification, To use additional sources of information as representation techniques, and to focus more on ways to integrate the research discoveries in a framework to be deployed to consumers.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2EE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2EE

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.