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Learner Reviews & Feedback for Fundamentals of Machine Learning for Healthcare by Stanford University

4.8
stars
519 ratings

About the Course

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. The course will empower those with non-engineering backgrounds in healthcare, health policy, pharmaceutical development, as well as data science with the knowledge to critically evaluate and use these technologies. Co-author: Geoffrey Angus Contributing Editors: Mars Huang Jin Long Shannon Crawford Oge Marques 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

QB

Jul 22, 2023

This course will give you the complete information that is required by a beginner. Best if you want help to start working on ML project related to healthcare in beginning of your career.

AJ

Sep 9, 2020

Amazing course teaching the innumerous opportunities in the healthcare sector and the application of AI in the same. Beautifully drafted course with intriguing tutorials and exercises.

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101 - 125 of 128 Reviews for Fundamentals of Machine Learning for Healthcare

By Vasilis V

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Jan 25, 2021

very elaborate and well organized

By JAYDEEP c

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Sep 7, 2024

Very informative and insightful

By Muhammad M

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Jul 2, 2024

wonderful course for students

By Mike S

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Feb 10, 2022

Concise and to the Point!!!

By Feese I T P

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Jul 10, 2022

Very Interesting Course

By Aijaz P

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Aug 10, 2024

Excellent course

By Sorin C

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Aug 9, 2024

Amazing Course!

By shihyang y

•

Feb 25, 2024

it is very good

By Faizy H

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Mar 27, 2022

very engaging!

By David P

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Aug 31, 2024

Exceptional.

By 권광현

•

Apr 15, 2024

아주 도움이 되었어요

By DR N A A

•

Jan 28, 2024

very good

By SERRA D

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Jan 31, 2025

perfect

By Olusi S O

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Dec 29, 2022

awesome

By Mohammed A (

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Feb 8, 2024

Thank

By Musawwir A

•

Aug 26, 2023

good

By Sauranshu P

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Jul 22, 2021

Good

By Ernesto R

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May 3, 2021

Good

By Claudia K

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Oct 8, 2020

It is really good overview for people coming from a commercial background but it is done in a pretty fast manner such that I need to listened into videos again to appreciate the concept. A lot more work and reading needed to really get myself on board. I suggest a even more basic AI course prior to this module. Otherwise, if you are from Healthcare, the first 2 modules structure overviews (also very good but more US-centric) are good revisions and segway into the later module.

By Sana M

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Sep 22, 2021

the quality of videos was great. week 4 till week 7 have some hard to learn problems, it is better to make it more clear and easier to understand.

By berhan h

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Sep 1, 2022

the was very interesting course ,I share a lot of experience and knowledge form the course thank you

By Mahdi Z

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Aug 29, 2021

very good and fun, maybe would've been better with more Instances, not just talking (last2/3 weeks)

By Tersoo A

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Jul 2, 2024

Succinctly put together, no fluffs. They kept technical jargon to the minimum

By Alena K

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Dec 12, 2021

I enjoyed the course but for a beginner some lectures were hard to follow

By liz a

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Jan 3, 2021

it was a very interesting course and look forward to taking more.