Skip to content

A model that determines whether or not the patient's symptoms indicate that the patient has hypothyroid

Notifications You must be signed in to change notification settings

DaveChui/Machine-Learning-Algorithm-fro-Hyperthyroid-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 

Repository files navigation

Decision-Trees-ML

  1. Defining the Question a.) Specifying the Question Nairobi Hospital conducted a clinical camp to test for hypothyroidism. The data collected focused on Thyroid patients. Use the healthcare datasets provided to accomplish the following:

Build a model that determines whether or not the patient's symptoms indicate that the patient has hypothyroid.

b.) Determining the metric for success While solving the specified problem, we should be able to create a model(s) which will be able to inform us of the hypothyroidism status of a specific patient which should have a realtively high accuracy considering that it involves peoples' livelihoods.

c.) Understanding the context Using the medical field dataset provided, we're supposed to predict with the highest accuracy level whether a person has hypothyroidism or not which will be a matter of high imprortance. This is a Hypothyroidism's deficiency of thyroid hormones which can disrupt things like heart rate, body temperature and all aspects of metabolism. Major symptoms include fatigue, cold sensitivity, constipation, dry skin and unexplained weight gain. Treatment consists of thyroid hormone replacement.

About

A model that determines whether or not the patient's symptoms indicate that the patient has hypothyroid

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published