Predictive Analytics for Healthcare: Symptom-Driven Disease Prediction with Machine Learning
Alt Text: Predictive Analytics for Healthcare: Symptom-Driven Disease Prediction with Machine Learning
Title: Predictive Analytics for Healthcare: Symptom-Driven Disease Prediction with Machine Learning
Caption: AI-driven symptom-based disease prediction enhances diagnostic accuracy using machine learning.
Description: This study explores the use of machine learning in predictive disease modeling, analyzing symptoms to improve medical diagnostics and preventive healthcare.
Keywords: Disease Prediction, Machine Learning, Diagnosis System, Healthcare Analytics, Predictive Modeling
International Journal of Engineering and Techniques – Volume 10 Issue 4, July 2024
Mohd Ali Tahir1, Dr. Anshul Mishra2
1Senior Executive (Data Engineering), Vodafone Intelligent Solutions
2Associate Professor & Head, Department of Computer Application, Lal Bahadur Shastri Girls College of Management, Lucknow
Abstract
The “Disease Prediction” approach leverages predictive modeling to estimate potential illnesses based on user symptoms. Machine learning (ML) algorithms enhance diagnostic accuracy over conventional methods. This study integrates symptom analysis, age, and gender into a medical diagnostic system that applies ML techniques to improve early detection and healthcare outcomes.
Keywords
Disease Prediction, Machine Learning, Diagnosis System, Healthcare Analytics, Predictive Modeling
How to Cite
Mohd Ali Tahir, Dr. Anshul Mishra, “Predictive Analytics for Healthcare: Symptom-Driven Disease Prediction with Machine Learning,” International Journal of Engineering and Techniques, Volume 10, Issue 4, 2024. ISSN 2395-1303.
Post Comment