predicting-dementia

Developed a predictive model for diagnosing dementia.

Developing the Best ML classification Model to Predict Dementia

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Description

The goal of this project is to create the best predictive model for predicting dementia based on a set of features. The models created will address the following research questions about dementia:

Questions

• Which model(s) performs best to predict dementia?
• What variables are best at predicting dementia?
• Is there any collinearity between the predicting variables from dementia? If so, do the models perform better with fewer features?

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Contributing
4. License
5. Contact

About The Project

Dementia is a neurodegenerative chronic illness that causes loss of memory, language, problem-solving and other neurological issues. It is defined as a deterioration of cognitive function beyond what may be expected. The goal of this project is to develop the best ML classification model for predicting dementia.

Data Sources

The dementia dataset is from Kaggle (https://www.kaggle.com/shashwatwork/dementia-prediction-dataset). The dataset contains 918 participants with 14 predicting variables and 1 response variable (Group – Dementia status).

Built With

• R
• RStudio

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Getting Started

Installation

Software

You will need to install R and RStudio to work on this project. To install R and RStudio, please visit the following websites:

• Installation Guide
• R
• RStudio

Packages Needed

• ISLR
• gbm
• psych
• corrplot
• Hmisc
• class
• MASS
• caret
• crossval
• e1071
• readr
• reshape2
• ggplot2
• gridExtra
• rpart
• randomForest

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)

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Contact

Eric Gonzalez - egon611@gmail.com

Project Link: https://github.com/gonzalezeric/predicting-dementia

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