Chevron Left
Back to AI in Healthcare Capstone

Learner Reviews & Feedback for AI in Healthcare Capstone by Stanford University

4.6
stars
173 ratings

About the Course

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. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content....

Top reviews

PP

Aug 15, 2023

I did not expect such good content in this course but it surpass my expectation. Its very well designed course which can engage you till the end and will definitely help you in your academics or work.

AZ

Dec 16, 2020

Getting AI specialization Stanford University is very amazing and effective to start your AI careers. Thank you for all Stanford university lecturers, Thank you Coursera for everything !

Filter by:

26 - 42 of 42 Reviews for AI in Healthcare Capstone

By Kabakov B

•

Oct 11, 2020

There are 9 peer review tasks, but they are not obligate ;)

By blue a

•

Dec 29, 2020

Great program and excellent learning platform!

By Vitchaya

•

Mar 14, 2023

Solid start for completely beginner

By Kenneth N

•

Jul 29, 2022

Very good course. worth our time

By yasir m

•

Dec 1, 2023

THE BEST ON COURSERA SO FAR

By Narmeen A

•

Dec 12, 2023

Great Learning experience

By Philip S

•

Jan 8, 2023

Excellent introduction!

By Iris C

•

Jan 26, 2023

Excellent course

By shihyang y

•

Feb 25, 2024

it is very good

By Atul P

•

May 7, 2021

Great team !!

By Artem S

•

Mar 11, 2024

Really great

By Chandràkanta M

•

Aug 24, 2023

great course

By Stefany V

•

Jan 6, 2024

muito bom

By Lars W

•

Nov 17, 2020

Some technical issues with the quizzes and assignments (ie one assignment had no question, just an answer). Some fellow students cheated by copy-pasting in the correct answer after evaluating peers. Still, I liked that you had difficult in-depth questions even though we haven't done any ML projects or hands on coding.

By Joshua A C

•

Oct 15, 2020

I would have liked to see more hands on with users actually writing code in a notebook. The quizzes need to be verified because some answers may not be correct.

By Claudia K

•

Oct 12, 2020

Good overview for AI in Healthcare but more reading and OTJ training will needed.

By Patricia C

•

Mar 25, 2024

This Coursera is a SCAM