Home > Computer Science > Other > Volume-4 > Issue-3 > Hospital Management Software with Arthritis Prediction in Ayurveda

Hospital Management Software with Arthritis Prediction in Ayurveda

Call for Papers

Volume-5 | International Conference on Advances in Engineering, Science and Technology – 2021

Last date : 27-May-2021

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

Processing Charges : 700/- INR Only OR 25 USD (for foreign users)

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area

Hospital Management Software with Arthritis Prediction in Ayurveda

Rinsy R | Vrindha Vinoj | Kenas Jose

Rinsy R | Vrindha Vinoj | Kenas Jose "Hospital Management Software with Arthritis Prediction in Ayurveda" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.583-586, URL: https://www.ijtsrd.com/papers/ijtsrd30594.pdf

The application of data mining is visible in fields like commerce, e-business, and trade. The medical fields are rich in information but the knowledge is still weak. Data wealth is high in the medical field. But there is a lack of analytic tools to analyze trends in data. Here we implement a hospital management software in order to computerize the front office workflow and it implements Predictive models for the diseases using machine learning algorithms. The front office management deals with the collection of patient information and diagnosis details etc. Traditionally all these works were done manually and using this software we can digitalize the entire operations. We are implementing this hospital management software and predictive models in Ayurveda. As the initial step, we are implementing a predictive model for Arthritis, by analyzing Rheumatoid Factor (RF), age and symptoms of the patient. There are five types of arthritis Gout, Rheumatoid arthritis, Osteoarthritis, Psoriatic arthritis, and Juvenile arthritis. The age, RF value, and age determine the type of arthritis the person possesses. Rheumatoid factor is an antibody that can be detected in the blood of a person who has arthritis. We use six machine learning algorithms here. They are SVM, CART, Linear Regression, KNN, Naïve Bayes, Linear Discriminant analysis.

SVM, CART, KNN, LDA, Naïve bayes, machine learning, arthritis prediction, rheumatoid factor

Volume-4 | Issue-3, April 2020
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer