학술논문
Hypothyreosis Prediction Using Feature Scaling Technique in ML
Document Type
Conference
Source
2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT) Advances in Computation, Communication and Information Technology (ICAICCIT), 2023 International Conference on. :258-262 Nov, 2023
Subject
Language
Abstract
In healthcare, early and accurate disease identification is essential for providing effective care. This factor is essential in disorders like thyroid conditions, which tends to be challenging to locate because its manifestations frequently resemble those of other illnesses. "Hypothyroidism" and "Hyperthyroidism" are the two kinds of thyroid illness. Hyperthyroidism arises when thyroid hormone secretion rises over the normal amount. When the gland that controls the thyroid is unable to create adequate hormones for itself, hypothyroidism, evolves, deteriorating bodily functions Elevated TSH, decreased FT4, increased body weight, decreased hunger, sluggish heart rate, lethargy, and slowed metabolism are the major symptoms. In this study, the LightGBM algorithm's feature scaling technique is used to predict hypothyroidism.