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

4.8
stars
400 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 21, 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 8, 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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26 - 50 of 110 Reviews for Fundamentals of Machine Learning for Healthcare

By Deepika P

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Jan 10, 2022

the course can be made more better and effective y including real-world healthcare case studies

By Inamullah

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Jun 18, 2022

This is the best contents availbale for the new commers to enhance their experties in AI healthcare.

By Raimundo N

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Mar 28, 2022

So grateful for this learning journey with the prestigious Stanford!

By hani j

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Oct 5, 2021

it is a really good course for learning ML but some of the videos are a bit hard to fully understand

By Zakir S

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Nov 13, 2020

I was hoping to learn with hands on assignments but unfortunately it was mostly lectures.

By Marcelo M C

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Jul 15, 2022

The course is very good. Great content, very well structured and with key insights. The instructors are great, very clear explanations. It covers both fundamentals of ML as well as principles of its application to healthcare. I have background already in ML and it helped me reinforce concepts as well as learn an overall point of view of health related benefits, opportunities, use cases, challenges and risks. Very valuable information for an introductory course.

However, for people completely new to ML, I think it could be challenging to follow all the concepts that are presented. Coding is not required nor deep math; in fact, instructors do a great work trying to abstract the details in order to explain the concepts. But in ML, some of the topics require more depth and background in order to be able to fully grasp the idea. So if this is your case, it could be good to get some extra content from elsewhere on the basics before or during the course.

By hugo b m

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Jul 10, 2023

Great Course. A new Subject for me. It took me a great effort because not only was the special vocabulary but the subjects up-dated to this millenium in which we are living. Great for Stanford Professional and highly professiional and scientific lecture personnel that took care of the curriculum in this Introduction of Machine Learning for Healthcare. As I wrote above, I think it took me very much effort to review the contents of some weeks and back to and learned from videos in order to be prepared for the Final Assesment. Many thanks for your valuable support and time devoted from you to get the goals , so many studens including me. I do hope to go ahead with the new courses and be able to accomplish the AI Specialization Certificate . Thanks again to all of you and Specially Stanford University Center for Heal Education-Medicine for giving me this great opportunity.

By Rozarina

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Sep 15, 2023

Great High level overview of essentials for Machine learning in Healthcare for anyone who is looking to have a complete(ish) view of various types of clinical data, and how it fits into the ML pipeline, to produce actionable health actions. Depending on "what is the healthcare research question" you are trying to solve and the tools you have, the dataset you obtain, and the degree of tolerance and performance you need (depending on the final user) this course is a nice introduction to see where one needs a deeper dive, and what types of codes are likely to be needed. to solve the problem.

By Abderrezak R

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Jan 1, 2024

Je tiens à remercier chaleureusement l'équipe pédagogique et tous ceux qui ont contribué à la création et à la mise à disposition de ce cours de haute qualité. Votre engagement envers l'éducation et la diffusion des connaissances est véritablement louable. Cette formation a eu un impact significatif sur ma carrière professionnelle et mes perspectives d'avenir dans le domaine de la santé et de l'apprentissage automatique. Je suis reconnaissant envers Coursera pour avoir rendu cette opportunité d'apprentissage accessible et immersive.

By Muhammad S A

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Jun 19, 2023

After completing the "Fundamental Machine Learning for Healthcare" certificate, I can confidently say that it was an incredibly informative and practical program. The course provided a comprehensive understanding of the key concepts and techniques of machine learning specifically tailored to the healthcare industry. The instructors did an excellent job of breaking down complex topics into easily digestible modules, and the hands-on exercises and real-world case studies were invaluable in solidifying my knowledge

By Scott W

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Dec 23, 2023

Great introductory course for Machine Learning in Healthcare. The professors did an excellent job making the content digestible, emphasizing big concepts multiple times throughout the course and giving plenty of examples. Would highly recommend this course to everyone entering the healthcare field since AI will only become more integrated into healthcare.

By Will B

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Mar 12, 2023

Terrific course, one of my favorite in Coursera. Instructors communicated clearly and efficiently. Topics were logically organized. Content was relevant and compelling. Given the level of detail and complexity of the topic, I would recommend watching the lectures again or studying the study guides carefully to solidify learning.

By Jau-Jie Y

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Jul 12, 2021

I would like to thanks to both instructor, Professor Matthew Lungren and Professor Serena Yeung. They explain fairly clear of some concept, and it help me much. I mistake some ideal of cross entropy, loss function, etc.

And how to solve the underfitting/overfitting section is very useful.

Special thanks to both teachers.

By Jonathan W

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Feb 2, 2022

Through out the course real world examples are shared to provide context. The recommended reading provides both broader and deeper insight. As a non physician I found the ethics papers really interesting read and helped provide me with greater perspective of some of the challenges in healthcare.

By zoi k

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Nov 15, 2023

although the level of detail was too much for someone without an appropriate backround (me as an MD), it was by far the best course so far! The energy, the content, the engagement, the interaction between them and with the learners, the jokes, it was a blast! Bring them back :)

By Joseph J

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Jan 2, 2023

The course is excellent. I really enjoyed the enthusiasm of the instructors. The most important topics and concepts of machine learning are covered in this course. Thank you Standford Online , thank you Coursera for your positive impact on the world.

By Gonzalo R C

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Jan 19, 2022

Very interesting introductory course about ML in Healthcare, with a good introduction in the statistical key concepts to understand the way hoy ML works and things to care about to reduce errors and biases.

By Qamar U Z B B U Z B

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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.

By Sandro M

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Aug 20, 2021

Conteúdo ótimo! Traz uma boa base de conceitos e aplicações para qualquer profissional que queira entender as aplicações de machine learning na área de saúde.

By Sumbal K

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Feb 25, 2024

I really enjoyed learning from this course . Helped me increasing my knowledge and clearing my ambiguities and misconceptions regarding the AI in healthcare.

By Kiran K

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Aug 31, 2023

Mathew and Serena are excellent. I enjoyed the module. The subject matter is very dense but made palatable by these two experts. Thanks and kudos to them!

By Johnny S

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Sep 11, 2023

Delivered all it promises. Fast paces and geared to people with lots of ML knowledge.

Thank you.

Muchas gracias.

Valdez Ladd

By Petr C

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Nov 10, 2023

This is an excellent course for anyone in healthcare who is trying to learn and understand clinical machine learning.

By FSJ W

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May 8, 2023

Excellent introduction to ML and AI in the context of healthcare. Loaded with information without being overwhelming

By Abtin A

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Oct 25, 2023

Excellent course, nicely laid out and clearly presented by a number of knowledgeable professors. Thank you!