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Optimized Building of Machine Learning Models for The Diagnosis of Thyroid Problems in Human Beings
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| Author:
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, DR K BUTCHI RAJU, DR CHINTASOMESWARA RAO, SHRIDHAR SANSHI, M.KIRAN KUMAR, K SAIKUMAR
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| Abstract:
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Many of the people now a days are suffering with thyroid disorder. Hence, the earlier detection of thyroid becomes very important in medical field to cure the patient.The detection methods are based on pattern recognition, machine learning and data mining. Thyroid disorder was caused by the imbalanced state of thyroid hormones, and is of two types, they are over production (hyperthyroidism) and less production (hypothyroidism). In this paper we applied machine learning models on the hypothyroid dataset taken from the UCI data repository to partially fulfill the detection of thyroid disorder. The experimental results have shown that, the proposed model willgive the good results.
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| Keyword:
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Machine Learning; Thyroid, Hyperthyroidism; Disese diagnosis; Health
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2020.SP3.058
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| Download:
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