Back to Search
Start Over
Data from Telkom University Advance Knowledge in Chronic Disease (Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review).
- Source :
- Genomics & Genetics Weekly; 6/24/2024, p332-332, 1p
- Publication Year :
- 2024
-
Abstract
- A report from Telkom University in Bandung, Indonesia discusses the use of machine learning to predict chronic diseases based on personal medical records or general checkup results. The research emphasizes the importance of data quality and the choice of machine learning methods in accurate prediction. The paper provides a comprehensive review of research on chronic disease prediction using machine learning, covering topics such as supervised learning, ensemble learning, deep learning, and reinforcement learning. The report concludes by highlighting open issues and potential future improvements in prediction performance through data preprocessing handling and machine learning methods. [Extracted from the article]
- Subjects :
- MACHINE learning
CHRONIC diseases
SUPERVISED learning
INFORMATION technology
Subjects
Details
- Language :
- English
- ISSN :
- 15316467
- Database :
- Complementary Index
- Journal :
- Genomics & Genetics Weekly
- Publication Type :
- Periodical
- Accession number :
- 177994856