MEDBOT: A MEDICAL CHATBOT FOR DISEASE DETECTION AND SUGGESTION THROUGH MACHINE LEARNING MODELS
Author(s):
Avina Wakchaure, Shamli Kavle, Shruti Surve, Apurva Patil
Keywords:
K nearest Neighbors, Linear Regression, Artificial Neural Networks and Decision Tree
Abstract
The Healthcare sector is one of the fastest growing and highly competitive sector that has been improving with the insertion of technology into this paradigm. The healthcare sector has been facing a severe lack of medical professionals that has been evident in the recent pandemic. The recent pandemic exposed the dearth of doctors and other staff in the hospitals and clinics. This is a problematic issue that will require a lot of effective improvements but the lack of the professionals has been an issue that has lasting consequences right away. The doctors that are consulting are overburdened with the patients and the elderly individuals have a hard time travelling to the hospital every time for a consultation. Therefore, the paradigm of remote diagnosis comes to the rescue. For this purpose, an effective approach called MedBot is proposed in this research article that utilizes K Nearest Neighbor clustering and Linear Regression along with Artificial Neural Networks and Decision Making. The approach has been effectively evaluated for its disease prediction and has resulted in extremely satisfactory results.
Article Details
Unique Paper ID: 156910

Publication Volume & Issue: Volume 9, Issue 5

Page(s): 397 - 403
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Latest Publication

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers