Formulation of an elegant diagnostic approach for an intelligent disease recommendation system

Vikas Kamra, Praveen Kumar, Masoud Mohammadian

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

The continuous increase in population of our country is a great burden on our medical resources. So there is an urgent need of efficient technology which increases the performance of our medical diagnosis system. The technology will be beneficial for hospitals as well as patients. It reduces the possibility of manual errors during patient registration in the hospitals. It also saves time, money and energy of patients spent during their visits in the hospitals. By the use of this technology, patients can self-check their health conditions on regular intervals. This technology provides risk warning to the patients based on their disease symptoms. As a large amount of useful information related to various diseases and their diagnostic processes are available nowadays. This information can be processed with data mining and machine learning techniques and propose a medical diagnostic support system. That artificial intelligent system can learn with the help of machine learning algorithms. It performs data analytics on available medical data and provides an intelligent solution for disease diagnosis. The system mainly supports in decision making process during medical diagnosis of various diseases. This paper provides a unique approach to design a diagnosis support system based on machine learning algorithm.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference On Cloud Computing, Data Science and Engineering, Confluence 2019
EditorsBalvinder Shukla
Place of PublicationNew Jersey, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages278-281
Number of pages4
ISBN (Electronic)9781538659335
DOIs
Publication statusPublished - 10 Jan 2019
Event9th International Conference On Cloud Computing, Data Science and Engineering - Uttar Pradesh, India
Duration: 10 Jan 201911 Jan 2019

Conference

Conference9th International Conference On Cloud Computing, Data Science and Engineering
Abbreviated titleConfluence 2019
CountryIndia
CityUttar Pradesh
Period10/01/1911/01/19

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  • Cite this

    Kamra, V., Kumar, P., & Mohammadian, M. (2019). Formulation of an elegant diagnostic approach for an intelligent disease recommendation system. In B. Shukla (Ed.), Proceedings of the 9th International Conference On Cloud Computing, Data Science and Engineering, Confluence 2019 (pp. 278-281). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CONFLUENCE.2019.8776952