To Recommend the Best Hospital in an Area Using Machine Learning: Medic Aid Analysis

International Journal of Research in Engineering, Science and Management

View Publication Info
 
 
Field Value
 
Title To Recommend the Best Hospital in an Area Using Machine Learning: Medic Aid Analysis
 
Creator Navele, Siddhant
Ambale, Rucha
Kapse, Varun
Ghadge, Suyash
 
Subject Weighted average method
K-nearest neighbour (KNN)
Collaborative filtering
Sentiment analysis
 
Description In the health-care industry, there is a huge demand for the finest Medicare for patients. Weighted average Method approach is used to predict the best hospital for the patient on the basis of various attributes used in the dataset. Health care in India is not easily available, according to various polls conducted over the last decade. Health-care apps now accessible do not enable one-stop access to surrounding hospitals and testing centres. This app's goal is to improve one's health and, as a result, one's quality of life. If people have improved access to healthcare, many chronic diseases can be diagnosed earlier. The goal of this project is to demonstrate how a weighted average technique with content-based filtering may be used in a hospital recommender system and to compare performance. The results reveal that the weighted hybrid technique used in this study does not significantly improve performance, but it does help to provide a prediction score for unrated hospitals that cannot be recommended using simply content-based filtering.
 
Publisher RESAIM
 
Date 2022-04-29
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.journals.resaim.com/ijresm/article/view/1978
 
Source International Journal of Research in Engineering, Science and Management; Vol. 5 No. 4 (2022); 156-158
2581-5792
 
Language eng
 
Relation https://www.journals.resaim.com/ijresm/article/view/1978/1918
 
Rights Copyright (c) 2022 Siddhant Navele, Rucha Ambale, Varun Kapse, Suyash Ghadge
https://creativecommons.org/licenses/by/4.0
 

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