Prediction of Relative Locations of CT Slices in CT Images

Author(s): Avishek Nag

Originally published on Towards AI.

Predicting the relative location of CT slices on the axial axis of the human body using regression techniques on very high-dimensional data

Regression is one of the most fundamental techniques in Machine Learning. In simple terms, it means, ‘predicting a continuous variable by other independent categorical/continuous variables’. Challenge comes, when we have high-dimensionality i.e. too many independent variables. In this article, we will discuss a technique of regression modeling with high-dimensional data using Principal Components and ElasticNet. We will also see how to save that model for future use.

We will use Python 3.x as the programming language and ‘sci-kit learn’, ‘seaborn’ as libraries for this article.

Data used here can be found at the UCI Machine Learning Repository. Dataset name is “Relative location… Read the full blog for free on Medium.

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Published via Towards AI