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

4.8
stars
593 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

MN

Jan 3, 2021

Good course but the language needs to be simpler. Sometimes simple facts are complicated with the use of high pedigree words that don't really add much to conveying the overall message.

GM

Nov 12, 2020

Completing this course has given me a solid foundation and confidence to engage at a deeper level with AIML in health, both as a student and exponent thereof.

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101 - 125 of 142 Reviews for Fundamentals of Machine Learning for Healthcare

By Kim-Leiloni T N

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Oct 8, 2024

Excellent info on how AI impacts healthcare!

By Krishna N

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Dec 5, 2024

Excellent course content and instruction

By Kabakov B

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Oct 6, 2020

101 to ML. Like Ng's book ML Yearning.

By Robert M

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Oct 15, 2022

Superb coverage of a difficult topic

By shailendra j

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Jun 1, 2023

no teaching material for module 7

By Jiameng L

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Sep 27, 2021

Super helpful and engaging course

By Vasilis V

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Jan 26, 2021

very elaborate and well organized

By Jay 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 11, 2022

Very Interesting Course

By Hassan B J S

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Jul 16, 2025

Excellent course

By Mai N

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May 31, 2025

great experience

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

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Feb 25, 2024

it is very good

By Faizy H

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Mar 28, 2022

very engaging!

By David P

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Sep 1, 2024

Exceptional.

By Jeroen M

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Aug 23, 2025

best so far

By 甓岅磻順�

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Apr 15, 2024

鞎勳＜ 霃勳泙鞚� 霅橃棃鞏挫殧

By Merhawi M

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May 9, 2025

phenomenal

By DR N A A

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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