https://github.com/nyumedml/obesitypy
Official repository for the NYU Langone Health Comprehensive Program on Obesity machine learning research.
https://github.com/nyumedml/obesitypy
clinical-research data-science machine-learning medical open-source python-3
Last synced: 10 months ago
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Official repository for the NYU Langone Health Comprehensive Program on Obesity machine learning research.
- Host: GitHub
- URL: https://github.com/nyumedml/obesitypy
- Owner: NYUMedML
- License: mit
- Created: 2019-02-11T16:11:38.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-02T19:56:14.000Z (about 7 years ago)
- Last Synced: 2025-04-06T00:32:21.990Z (over 1 year ago)
- Topics: clinical-research, data-science, machine-learning, medical, open-source, python-3
- Language: Jupyter Notebook
- Size: 96.8 MB
- Stars: 4
- Watchers: 6
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ObesityPY
## Synopsis
This repository acts as the code base for machine learning work associated with the [NYU Langone Comprehensive Program on Obesity](https://med.nyu.edu/research/obesity/comprehensive-program-obesity).
An unofficial repository of the code under development as the work progresses can be found [here](https://github.com/narges-rzv/ObesityPY).
## Details
- Information on the features of the data can be found in this [notebook](https://github.com/NYUMedML/ObesityPY/blob/master/src/Pediatric_Obesity_Prediction_Feature_Data.ipynb) or for quicker loading, try on [NBViewer](https://nbviewer.jupyter.org/github/NYUMedML/ObesityPY/blob/master/src/Pediatric_Obesity_Prediction_Feature_Data.ipynb)
- Information on the final analysis can be found in this [notebook](https://github.com/NYUMedML/ObesityPY/blob/master/src/Pediatric_Obesity_Prediction_Regression_100_bootstraps.ipynb) or for quicker loading, try on [NBViewer](https://nbviewer.jupyter.org/github/NYUMedML/ObesityPY/blob/master/src/Pediatric_Obesity_Prediction_Regression_100_bootstraps.ipynb)
- Generally more information on the scripts used and notebooks for analysis can be found [here](https://github.com/NYUMedML/ObesityPY/tree/master/src)