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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Python tools for healthcare machine learning
| Date | Stars |
|---|---|
| 2026-07-31 | 330 |
| 2026-08-06 | 330 |
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# healthcareai
[](https://landscape.io/github/HealthCatalyst/healthcareai-py/master)
[](https://ci.appveyor.com/project/CatalystAdmin/healthcareai-py/branch/master)
[](https://travis-ci.org/HealthCatalyst/healthcareai-py)
<!--[](https://anaconda.org/catalyst/healthcareai)
[](https://conda.anaconda.org/catalyst)-->
[](https://badge.fury.io/py/healthcareai)
[](https://doi.org/10.5281/zenodo.999010)
[](https://raw.githubusercontent.com/HealthCatalyst/healthcareai-py/master/LICENSE)
The aim of **healthcareai** is to streamline machine learning in healthcare. The package has two main goals:
- Allow one to easily create models based on tabular data, and deploy a best model that pushes predictions to a database such as MSSQL, MySQL, SQLite or csv flat file.
- Provide tools related to data cleaning, manipulation, and imputation.
## Installation
### Windows
- If you haven't, install 64-bit Python 3.5 via [the Anaconda distribution](https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe)
- **Important** When prompted for the **Installation Type**, select **Just Me (recommended)**. This makes permissions later in the process much simpler.
- Open the terminal (i.e., CMD or PowerShell, if using Windows)
- Run `conda install pyodbc`
- Upgrade to latest scipy (note that upgrade command took forever)
- Run `conda remove scipy`
- Run `conda install scipy`
- Run `conda install scikit-learn`
- Install healthcareai using **one and only one** of these three methods (ordered from easiest to hardest).
<!--1. **Recommended:** Install the latest release with conda by running `conda install -c catalyst healthcareai`-->
2. **Recommended:** Install the latest release with pip run `pip install healthcareai`
3. If you know what you're doing, and instead want the bleeding-edge version direct from our github repo, run `pip install https://github.com/HealthCatalyst/healthcareai-py/zipball/master`
#### Why Anaconda?
We recommend using the Anaconda python distribution when working on Windows. There are a number of reasons:
- When running anaconda and installing packages using the `conda` command, you don't need to worry about [dependency hell](https://en.wikipedia.org/wiki/Dependency_hell), particularly because packages aren't compiled on your machine; `conda` installs pre-compiled binaries.
- A great example of the pain the using `conda` saves you is with the python package **scipy**, which, by [their own admission](http://www.scipy.org/scipylib/building/windows.html) *"is difficult"*.
### Linux
You may need to install the following dependencies:
- `sudo apt-get install python-tk`
- `sudo pip install pyodbc`
- Note you'll might run into trouble with the `pyodbc` dependency. You may first need to run `sudo apt-get install
unixodbc-dev` then retry `sudo pip install pyodbc`. Credit [stackoverflow](http://stackoverflow.com/questions/2960339/unable-to-install-pyodbc-on-linux)
Once you have the dependencies satisfied run `pip install healthcareai` or `sudo pip install healthcareai`
### macOS
- `pip install healthcareai` or `sudo pip install healthcareai`
### Linux and macOS (via docker)
- Install [docker](https://docs.docker.com/engine/installation/)
- Clone this repo (look for the green button on the repo main page)
- cd into theExcerpt of 7,354 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:054aacf6f7643aa1, topic:healthcare, desc:healthcare