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This project aims to predict the risk of thyroid disease in patients using machine learning algorithms.

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Thyroid-Disease-Detection

Project Title

Thyroid Disease Detection

Technologies

Machine Learning Technology

Domain

Healthcare

Problem Statement:

Thyroid disease is a common cause of medical diagnosis and prediction, with an onset that is difficult to forecast in medical research. The thyroid gland is one of our body's most vital organs. Thyroid hormone releases are responsible for metabolic regulation. Hyperthyroidism and hypothyroidism are one of the two common diseases of the thyroid that releases thyroid hormones in regulating the rate of body's metabolism. The main goal is to predict the estimated risk on a patient's chance of obtaining thyroid disease or not.

Approach: The classical machine learning tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building and Model Testing. Try out different machine learning algorithms that’s best fit for the above case.

Attribute Information

age - age of the patient (int)

sex - sex patient identifies (str)

on_thyroxine - whether patient is on thyroxine (bool)

query on thyroxine - *whether patient is on thyroxine (bool)

on antithyroid meds - whether patient is on antithyroid meds (bool)

sick - whether patient is sick (bool)

pregnant - whether patient is pregnant (bool)

thyroid_surgery - whether patient has undergone thyroid surgery (bool)

I131_treatment - whether patient is undergoing I131 treatment (bool)

query_hypothyroid - whether patient believes they have hypothyroid (bool)

query_hyperthyroid - whether patient believes they have hyperthyroid (bool)

lithium - whether patient * lithium (bool)

goitre - whether patient has goitre (bool)

tumor - whether patient has tumor (bool)

hypopituitary - whether patient * hyperpituitary gland (float)

psych - whether patient * psych (bool)

TSH_measured - whether TSH was measured in the blood (bool)

TSH - TSH level in blood from lab work (float)

T3_measured - whether T3 was measured in the blood (bool)

T3 - T3 level in blood from lab work (float)

TT4_measured - whether TT4 was measured in the blood (bool)

TT4 - TT4 level in blood from lab work (float)

T4U_measured - whether T4U was measured in the blood (bool)

T4U - T4U level in blood from lab work (float)

FTI_measured - whether FTI was measured in the blood (bool)

FTI - FTI level in blood from lab work (float)

TBG_measured - whether TBG was measured in the blood (bool)

TBG - TBG level in blood from lab work (float)

referral_source - (str)

Class - hyperthyroidism medical diagnosis (str)

About

This project aims to predict the risk of thyroid disease in patients using machine learning algorithms.

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