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学生对 提供的 AI for Medical Prognosis 的评价和反馈

648 个评分
112 条评论


AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Machine learning is a powerful tool for prognosis, a branch of medicine that specializes in predicting the future health of patients. In this second course, you’ll walk through multiple examples of prognostic tasks. You’ll then use decision trees to model non-linear relationships, which are commonly observed in medical data, and apply them to predicting mortality rates more accurately. Finally, you’ll learn how to handle missing data, a key real-world challenge. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. This course focuses on tree-based machine learning, so a foundation in deep learning is not required for this course. However, a foundation in deep learning is highly recommended for course 1 and 3 of this specialization. You can gain a foundation in deep learning by taking the Deep Learning Specialization offered by and taught by Andrew Ng....


Jun 4, 2020

I am a medical image analysis enthusiast. But I always wonder why I can't I combine other patient details for extending it's application. Sure this course is awesome. I really loved it !!

Apr 21, 2020

This course was great and more challenging that I have expected. More focus on statistics and survival data which is important for prognosis. Course has a good flow and valuable content.


51 - AI for Medical Prognosis 的 75 个评论(共 112 个)

创建者 Jyotin P

Sep 12, 2020

Very good course.Recommended for those who are looking for practical applications of AI.

创建者 Abhishake G

Aug 11, 2020

Amazing course. Concepts explained in carefully crafted videos. Keep up the great work.

创建者 Sathyanarayana M

Sep 24, 2020

excellent course design - Survival Tree and Survival Random Forest - COX Hazard Model

创建者 Mia D

Sep 11, 2020

Great course and specialization, well organised and contain really diverse topics.

创建者 Le N T

Jun 12, 2020

Very good course! Although need time to understand C-index and Harrell's C-index.

创建者 Nikolaos N T

Apr 17, 2021

Clear understanding, to the point, and very well structured. Well done, thanks!

创建者 Enrique

Jan 4, 2021

Very interesting course. I learned a lot about statistics applied in survival.

创建者 Ignacio M S

Jul 7, 2020

Very interesting models to work and evaluate, the prognosis at Medicine.

创建者 Sagar P

May 4, 2020

amazing course for getting the insights and risk calculation of patients

创建者 AnnMargaret T

Jul 3, 2020

This course really blew my mind. Risk/Hazard Functions are very useful!

创建者 Ravi P B

Jun 8, 2020

A thorough nice and learning experience.Instructors are fantastic

创建者 seyed r m

May 22, 2020

This course was nicely put together with useful assignments

创建者 Bharathi k N

Aug 4, 2020

The course are very good and i really enjoyed the course

创建者 Fernando M

Nov 8, 2020

Great course, my favorite specialization in coursera.

创建者 Nosaybeh A P

Jan 7, 2021

It was a very good course, It helped me a lot


创建者 Luigi S

May 24, 2020

Very interesting and very well explained. Nice.

创建者 Mustak A

Mar 25, 2021

Learned a lot of things.Truely a nice course

创建者 C A K

May 16, 2020

Nice course team, keep up the good work

创建者 Peter

Jul 15, 2020

very good course, learned a lot thanks


Apr 25, 2021

Very nice and very helpful course!!

创建者 Muh A A I

Aug 2, 2020

very clear and thorough explanation

创建者 eon t

May 29, 2020

great and appropriate

learned a lot

创建者 Sakshat R

May 10, 2020

Really nice and informative course!

创建者 Haoran W

May 16, 2020

very useful and easy to follow.

创建者 Dadhichi T

Apr 22, 2020

Liked the exercises very much!!