Published
March 8, 2024
Category
Publications
client
Case Study
Automated Diagnosis and Treatment Recommendation System for Chronic Diseases: A Machine Learning Framework for Personalized Healthcare Management
Abstract
Automated Diagnosis and Treatment Recommendation System for Chronic Diseases: A Machine Learning Framework for Personalized Healthcare Management
This research introduces a system that can automatically diagnose chronic diseases and recommend treatments presents a groundbreaking approach by handling advanced machine learning calculations and wide healthcare data to communicate custom fitted healthcare courses of action for patients with unremitting conditions. Through intensive experimentation, the system outlines transcendent execution in diligent conclusion (precision: 0.90, survey: 0.88, F1-score: 0.89) compared to standard techniques and existing ML calculations. Other than, its treatment proposition alter closely with clinical rules, driving to update tireless fulfillment and basic progressions in prosperity comes about. Joining artificial intelligence into healthcare systems holds colossal ensure for optimizing understanding care, diminishing healthcare employments, and updating quality of life for individuals snaring with determined sicknesses.
Journal Paper Link: https://ieeexplore.ieee.org/abstract/document/10947893
Keywords:
- Machine Learning,
- Health Administration,
- Computer-aided Diagnosis,
- Course Of Action,
- Clinical Rules,
- Neural Network,
- Learning Algorithms,
- Support Vector Machine,
- Random Forest,
- Decision Tree,
- Glaucoma,
- Persistent Infection,
- Personalized Treatment,
- Healthcare Organizations,
- Healthcare Information,
- Demonstrative,
- Granulomatosis With Polyangiitis,
- Machine Learning Systems,
- Machine Learning Strategies