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This document discusses the classification of thyroid disorders using machine learning algorithms, focusing on hypothyroidism and hyperthyroidism. It outlines the objectives, existing systems, proposed systems, and the importance of early diagnosis in thyroid disease, emphasizing the use of various algorithms like Random Forest and Decision Tree for improved accuracy. The document also includes a literature survey and system requirements analysis for developing a machine learning-based thyroid disease class

Author

dandamshravanthi0205

Language

EN