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An implementation of Self-Care Prediction for Children with Disability

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selfcare-apps

An implementation of Self-Care Prediction for Children with Disability. For the details, please read the following paper:

Syafrudin, M.; Alfian, G.; Fitriyani, N.L.; Anshari, M.; Hadibarata, T.; Fatwanto, A.; Rhee, J. A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting. Mathematics 2020, 8, 1590. DOI: https://doi.org/10.3390/math8091590

Install Anaconda

Download and install anaconda: https://www.anaconda.com/products/individual

Creating an environment from an environment.yml file

Use the terminal or an Anaconda Prompt for the following steps:

conda env create -f environment.yml

and then activate the new environment:

conda activate scp-paper

Run the code

python app.py

Open your browser

http://localhost:2097

Credits

Thanks to Milligram CSS, Flask, XGboost, and all libraries in environment.yml file.

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An implementation of Self-Care Prediction for Children with Disability

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