Hands-on Machine Learning Using healthcare.ai

February 8, 2017

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Health Catalyst Data Science Team

Levi Thatcher Mike Mastanduno Taylor Larsen Taylor Miller

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Purpose of today’s chat

• Explain what healthcare.ai does

• Get you started in RStudio

• Talk about the roadmap

• Q&A

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What does healthcare.ai do?

• Enables quick model creation and deployment

• Common pre-processing functions

• Proper algorithms for healthcare

• Suitable metrics for model evaluation

• Easy deployment for nightly prediction

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Who is healthcare.ai for?

• Technical folks

• Business intelligence folks

• Data scientists

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Poll question – Operating System

At work, what operating system would you use for R/Python? 510 respondents

• Windows – 79%• Mac – 11%• Linux – 11%

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Poll question – R vs Python

Have you ever run R or Python code before? 526 respondents

• R – 22%• Python – 14%• Neither – 36%• Both – 28%

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Algorithm choices for healthcare.ai

• Lasso

• Random Forest

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Difference between R and Python packages?

• R package currently has more functionality

• Python will be used to leverage large datasets

*Image from page 9 of Andrew Ng’s mlyearning.org

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Workflow of deploying a model using healthcare.ai?

• Combine features with the two algorithms and assess model performance, iteratively

• Deploy the model with the features and algorithms that worked best

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Poll question – I/O

What type of data connections would you primarily use for R? 405 respondents

• CSV – 26%• SQL Server – 51%• MySQL – 9%• Postgres – 3%• Oracle – 11%

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I/O for healthcare.ai

• Databases via SQL Server

• CSV, TXT, etc

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healthcare.ai use cases

• 30-day readmissions

• Hospital acquired infections like CLABSI

• No-shows, propensity to pay, census, etc

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Examples!

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Roadmap• Submit to CRAN

• Submit to PyPI

• Switch to MySQL as default database

• Add deep learning into python package

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Want to contribute?

• Clone our repos!

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Poll question – What’s impeding you?

What is impeding you from using healthcare.ai? 277 respondents

• Loading data into R – 8%• Installing the package – 15%• Don’t know how to integrate into database infrastructure – 31%• Adoption – clinical team isn’t interested – 7%• Not sure what to predict – 38%

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Before we end…• healthcare.ai is our public offering—it’s

currently being integrated into HC’s products

• Check out the blog

• File issues on Stack Overflow with the package version number and tag ‘healthcare-ai’

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Questions?