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Machine Learning for Healthcare Professionals

Machine Learning for Healthcare Professionals

Instructor: Paul Cerrato

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

17 assignments

Taught in English

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There are 4 modules in this course

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Module details

In this module, you'll learn about some independent organizations involved in evaluating algorithms, SPIRIT-AI and CONSORT-AI. These are members of the Coalition for Health IT (CHAI). You'll also refresh yourself on the development steps of an AI Algorithm, focusing primarily on where your dataset comes from.

What's included

6 videos8 readings3 assignments2 discussion prompts

6 videosTotal 19 minutes

Meet Your Faculty: Paul Cerrato1 minute
Meet Your Faculty: Sonya Makhni2 minutes
Addressing Inequities in Datasets and Algorithms4 minutes
The Coalition for Health IT3 minutes
Dataset Construction5 minutes
Dataset Preparation4 minutes

8 readingsTotal 180 minutes

Welcome to Machine Learning for Healthcare Professionals1 minute
Syllabus10 minutes
Recommended Prior Knowledge: Basic Statistics5 minutes
Recommended Prior Knowledge: How to Read Journal Articles30 minutes
Module Overview1 minute
Lesson Resources66 minutes
Lesson Resources66 minutes
Module 1 Summary1 minute

3 assignmentsTotal 15 minutes

Module Quiz9 minutes
Check Your Knowledge3 minutes
Check Your Knowledge3 minutes

2 discussion promptsTotal 100 minutes

Welcome to the Course!10 minutes
Inequities in Healthcare90 minutes

This Module will concentrate on the value of Machine learning in analyzing patient data, including data generated by large clinical trials. You’ll learn about the benefits of subgroup analysis and take a closer look at a large randomized trial conducted by Mayo Clinic investigators. We’ll also explore the difference between correlation and causality, including some unexpected insights about their relationship.

What's included

6 videos3 readings3 assignments1 discussion prompt

6 videosTotal 17 minutes

Module Overview1 minute
Analyzing the EAGLE Study3 minutes
Benefits and Risks of Large Language Models Part 14 minutes
Benefits and Risks of Large Language Models Part 23 minutes
Internal/External Validation4 minutes
Clinical Validation Studies2 minutes

3 readingsTotal 13 minutes

Subgroup Analysis in Diabetes5 minutes
Correlation vs. Causality7 minutes
Module Summary1 minute

3 assignmentsTotal 16 minutes

Module Quiz10 minutes
Check Your Knowledge3 minutes
Check Your Knowledge3 minutes

1 discussion promptTotal 90 minutes

Benefits and Risks of Large Language Models90 minutes

In this module we’ll examine the challenge of delivering AI based algorithms in the real world. What works in an AI Lab doesn't always translate at the bedside. With that in mind, we'll discuss the need for creating a delivery system that will help you incorporate these tools into everyday workflows.

What's included

4 videos2 readings5 assignments1 discussion prompt

4 videosTotal 8 minutes

Module Overview0 minutes
Developing Delivery Method for Healthcare AI3 minutes
Reducing Cognitive Load in Machine Learning3 minutes
Delivering AI/Limitations2 minutes

2 readingsTotal 11 minutes

Governmental Regulations Impact AI Algorithms10 minutes
Module Summary1 minute

5 assignmentsTotal 22 minutes

Module Quiz10 minutes
Check Your Knowledge3 minutes
Check Your Knowledge3 minutes
Check Your Knowledge3 minutes
Check Your Knowledge3 minutes

1 discussion promptTotal 90 minutes

AI in Workflows90 minutes

In this module, you’ll gaze into our crystal ball to figure out which AI tools are likely to endure. You’ll take a closer look at conversational tech, generative AI and several Mayo Clinic digital solutions that will transform healthcare in the next few years.