The application of health recommender systems based on knowledge graph: a scoping review

X Zhang, M Yi, Y Sun, S Han, W Zhang… - Interdisciplinary …, 2023 - journals.lww.com
Background: Tailored knowledge graph-based recommender systems (KGRSs) have been
demonstrated to be able to provide accurate and effective health recommendations to users …

Optimized doctor recommendation system using supervised machine learning

H Singh, MB Singh, R Sharma, J Gat… - Proceedings of the 24th …, 2023 - dl.acm.org
In the past decade, we have seen many patients and healthcare problems. Due to this,
patients find difficulty choosing doctors according to their disease. Several Machine …

Integrating machine learning and deep learning algorithms in knowledge graph for disease screening and cataloging: Tools and approaches for drug invention and …

B Singh, C Kaunert - Applied Graph Data Science, 2025 - Elsevier
Abstract Machine Learning and Deep Learning algorithms within Knowledge Graphs
presents a transformative approach to address complex challenges in the realms of disease …

Issues and Challenges of Artificial Intelligence Implementation in Healthcare: A Review Study

TK Kaushik, A Singh, A Raghav… - Intersections of Law and …, 2024 - igi-global.com
Abstract In 1956, the United States of America was the birthplace of artificial intelligence (AI),
which at the time consisted of an algorithm that was developed via the process of analyzing …

Drug Recommendation System Using Machine Learning

GK Prashanth, HS Yashaswini - 2024 International Conference …, 2024 - ieeexplore.ieee.org
The drug recommendation system employs a comprehensive dataset comprising patient
demographics, medical history, genetic information, and existing medication records …