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Thyroid Disease Detection using Machine Learning.
- Source :
- Grenze International Journal of Engineering & Technology (GIJET); Jan Part 2, Vol. 10, p1769-1773, 5p
- Publication Year :
- 2024
-
Abstract
- Thyroid detection is a critical task in medical diagnosis, necessitating the development of precise and efficient methods. This paper introduces a machine learning approach utilizing the Random Forest algorithm for thyroid presence detection. A dataset comprising thyroid images is employed to train the algorithm, and its performance is evaluated using multiple metrics. Our findings indicate that the Random Forest algorithm is a dependable and accurate method for detecting the presence of thyroid in individuals. [ABSTRACT FROM AUTHOR]
- Subjects :
- RANDOM forest algorithms
MACHINE learning
THYROID diseases
THYROID gland
Subjects
Details
- Language :
- English
- ISSN :
- 23955287
- Volume :
- 10
- Database :
- Complementary Index
- Journal :
- Grenze International Journal of Engineering & Technology (GIJET)
- Publication Type :
- Academic Journal
- Accession number :
- 175658314