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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM16857

Health Insights: Orchestrating Holistic Wellness Through Symptom- Based Solutions

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM16857

Volume:

6 |

11 |

Nov 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YVP

Yash Vinod Patil

DS

Dhanraj Sawant

NM

Nivedeeta Mukherjee

AG

Aditya Gupta

SV

Shivam Vibhute

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Abstract

Access to timely and quality healthcare remains a significant global challenge, especially in regions with a shortage of healthcare professionals and limited medical infrastructure. Health Insights is a Flask-based web application designed to bridge this gap by providing a user- friendly, AI-powered healthcare management system. The system facilitates secure patient and doctor registration, appointment scheduling, and an AI-driven disease prediction module based on a Random Forest Classifier trained on a medical dataset containing 4,920 patient records and 132 symptoms. The model achieved 100% accuracy in predicting 41 different diseases during validation, demonstrating its potential as adiagnostic aid. Beyond disease prediction, Health Insights integrates a mental health analysis module and a lung cancer risk assessment system using machine learning techniques.

KEYWORDS

Machine Learning Personalized Healthcare Disease Prediction Flask Framework Artificial Intelligence in Healthcare Medical Recommendation System Decision Tree Classifier Random Forest Classifier Support Vector Machine (SVM) Health Informatics

Cite This Article

Yash Vinod Patil, Dhanraj Sawant, Nivedeeta Mukherjee, Aditya Gupta, Shivam Vibhute, "Health Insights: Orchestrating Holistic Wellness Through Symptom- Based Solutions," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 11, Nov 2022.

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Publication Date

5/6/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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