This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary care provider. We will follow the patient's journey from the lens of the data that are created at each encounter, which will bring us to a unique de-identified dataset created specially for this specialization. The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. We will review how the different choices you make -- such as those around feature construction, the data types to use, how the model evaluation is set up and how you handle the patient timeline -- affect the care that would be recommended by the model. During this exploration, we will also discuss the regulatory as well as ethical issues that come up as we attempt to use AI to help us make better care decisions for our patient. This course will be a hands-on experience in the day of a medical data miner.
This course is part of the AI in Healthcare Specialization
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Course 5 of 5 in the
Approx. 10 hours to complete
English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 5 in the
Approx. 10 hours to complete
English
Offered by
Syllabus - What you will learn from this course
2 hours to complete
Getting Started, Phase 1: Data Collection
2 hours to complete
2 readings
2 hours to complete
Phase 2: Model Training Part 1
2 hours to complete
1 reading
2 hours to complete
Phase 3: Model Training Part 2
2 hours to complete
1 reading
2 hours to complete
Phase 4: Model Evaluation
2 hours to complete
1 reading
Reviews
- 5 stars75.21%
- 4 stars18.80%
- 3 stars4.27%
- 2 stars1.70%
TOP REVIEWS FROM AI IN HEALTHCARE CAPSTONE
by KBOct 10, 2020
There are 9 peer review tasks, but they are not obligate ;)
by KSJul 17, 2021
I really enjoyed this course as it was applied learning of all I learned during the previous courses of the specialization.
by ASAug 19, 2021
Very well structured course. Easy to understand for those without a backgraoud of bioinformatics. And of course great mentors
by SKNov 21, 2021
An excellent course to venture into the field of 'AI in medicine'.
About the AI in Healthcare Specialization

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