An Intelligent Disease Prediction and Drug Recommendation Prototype by Using Multiple Approaches of Machine Learning Algorithms-Reference-Cited by-同舟云学术

An Intelligent Disease Prediction and Drug Recommendation Prototype by Using Multiple Approaches of Machine Learning Algorithms

Published:2023 Issue: Volume:11 Page:99304-99318
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nayak Suvendu Kumar¹^ORCID,Garanayak Mamata²^ORCID,Swain Sangram Keshari¹^ORCID,Panda Sandeep Kumar³^ORCID,Godavarthi Deepthi⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India

2. Department of Computer Science, Kalinga Institute of Social Sciences, Deemed to be University, Bhubaneswar, Odisha, India

3. Department of Artificial Intelligence and Data Science, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Hyderabad, Telangana, India

4. School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India

Funder

Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education, Hyderabad, Telangana, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10247046.pdf?arnumber=10247046

Reference24 articles.

1. Automated disease diagnosis and precaution recommender system using supervised machine learning

2. Disease Prediction and Drug Recommendation Android Application using Data Mining (Virtual Doctor)

3. Efficient Chronic Disease Diagnosis prediction and recommendation system

4. A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care

5. Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration

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