05. Relevant Tools for AI and EHR
Relevant Tools for AI and EHR
ND320 AIHCND C01 L00 A05 What Are The Relevant Tools That Students Will Use-
Relevant Tools
In this course, you will be using Jupyter Notebooks throughout. We will be working with some fantastic libraries like:
- Python
- Numpy
- Pandas
- Seaborn
- Matplotlib
- TensorFlow
- TensorFlow Probability
- Aequitas
- Shapley
To be able to complete this course, you need to have:
- Intermediate Python
- Basic understanding of machine learning
This is not an introductory course and you should have a solid foundation in these skills before taking this course.
Luckily, Udacity has many fantastic courses in these areas to get you up to speed if you need them!
While this course focuses on Python and Tensorflow there are many other tools you might be exposed to working with AI and EHR.
First, for really big data sets and more computing power, you might use one of the cloud providers like
- Google Cloud Platform
- Amazon AWS
- Azure
Some other popular languages for working with AI in healthcare might include:
- R
- Julia
- SQL (on cloud query engines such as GCP Big Query and AWS Athena)
Finally, other popular Machine Learning packages include:
- PyTorch
- Scikit-learn
- PySpark
While some of the features shown in this course are specific to TensorFlow, many of the important techniques you will learn will apply no matter where or how you create your models.
Finally, you may encounter some EHR data systems. Below are only a few of them.
- Cerner
- Epic
However, it is unlikely you would be working directly with these systems, but it's good to know about them.