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This is a contest that I created on RAMP with my team during the data camp at Polytechnique.

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Student challenge : Thyroid-desease-classification

Original authors: Bertrand PATUREL - Kaixian HUANG - Ramy MERABET - Nawel ARAB - Pierre-André MIKEM

As part of the Data Camp course, within the Data Science Masters at Institut Polytechnique de Paris in collaboration with University of Paris-Saclay, students were required to build a data challenge addressing some social/science/business problem using data obtained from external sources. This is one example of a student challenge, showcased on the ramp.studio server.

Prediction whether a patient suffers from a dysfunctionnal thyroid.

It is estimated that over 200,000 million people worldwide suffer from a thyroid disease, such as enlarged thyroid gland (goiter), thyroid nodules with or without cancer, hyperthyroidism or hypothyroidism. The influence of the thyroid gland on the body is major. The role of this butterfly-shaped organ located at the base of the neck (under the Adam's apple) is to regulate the metabolism of the cells in our body. It therefore determines the speed of the "motor" of our cells and organs and is involved in the proper functioning of our organs: the heart, muscles, brain, but also the digestive tract, bone health, regulation of our temperature and energy ... When the thyroid gets excited about producing hormones, the body does the same in its energy combustion, running several vital functions at full speed. This is called hyperthyroidism. When the gland is idling and not producing enough hormones, it is called hypothyroidism.

The task asked here in this challenge is to predict whether a patient suffer from hyper or hypothyroidism or none of them.

Get started

The starting kit notebook provides more details on this challenge and exploratory analysis on the data used.

To get started on this challenge follow the instructions here.

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This is a contest that I created on RAMP with my team during the data camp at Polytechnique.

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