Data Science & Image Processing for Healthcare Training

Data science and digital image processing are becoming an increasingly integral part of health care. This course will expose you to many of the ways that data science is used to extract innovative and actionable insights from healthcare-related datasets and medical imaging. In this course, we will examine how predictive modeling is used to assess outcomes, needs and potential interventions. We will also explore medical image analysis which has become an inherent part of medical technology.

Objectives

After this course, you will be able to:

Install Anaconda on a personal computer.

Prepare and explore healthcare-related datasets using the primary tools for data science in Python (e.g., NumPy, Pandas, Matplotlib, Scikit-learn).

Examine many of the unique qualities and challenges of healthcare data.

Understand how data science is impacting medical diagnosis, prognosis and treatment.

Use a data-science approach to evaluate and learn from healthcare data (e.g., behavioral, genomic, pharmacological).

Use deep learning and TensorFlow to interpret and classify medical images.

Perform feature extraction, segmentation and quantitative measurements of medical images.

Understand the increasing importance of data science and image processing in healthcare.

Audience

This course is designed for Healthcare professionals to get started with the domain of Machine Learning and Artificial Intelligence.

Prerequisites

Basic Python Programming

Duration

3 Days