Jenn-mawia/Hypothyroidism-Classification

# Hypothyroidism-Classification ## Contributors Jenipher Mawia ## Description This is a brief analysis that was done on patient's data collected by Nairobi Hospital during a clinical camp to test for hypothyroidism. Hypothyroidism (underactive thyroid) is a condition in which your thyroid gland doesn't produce enough of certain crucial hormones. Hypothyroidism may not cause noticeable symptoms in the early stages. Over time, untreated hypothyroidism can cause a number of health problems, such as obesity, joint pain, infertility and heart disease. Accurate thyroid function tests are available to diagnose hypothyroidism. Treatment with synthetic thyroid hormone is usually simple, safe and effective once you and your doctor find the right dose for you.Hypothyroidism signs and symptoms may include:Fatigue, Increased sensitivity to cold, Constipation, Dry skin, Weight gain, Puffy face, Hoarseness, Muscle weakness etc. The main aim of this project was to build a classification model which can determine whether or not the patient's symptoms indicate that the patient has hypothyroid ## Findings/Results The best model on the decision trees built was the Gradient boosting classifier. However, the RBF kernel SVC model outperforms it and is considered to be the best model to use for the classification. ## Complete Setup / Installation Requirements To open and view the notebook, you will need Jupyter Notebooks or Google Colaboratory. Do have a look at it.😊 ## Technologies used I used Python 3 in this project ## Contributing / Bug / Feature Request Pull requests are welcome for contribution. For major changes, please open an issue first to discuss what you would like to change. If you find a bug (or undesired results) do not hesitate to reach out ## License MIT Copyright (c) [2020]