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 !!
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.
创建者 Erwin J T C•
I liked this course. Some of the concepts appeared somewhat abstract but I'll just have to review integration and derivatives. There was also a lot of syntax to learn in python but it was great to learn more about how to use numpy and pandas. Can't wait to learn more in course 3: AI in medical treatment.
创建者 Jintao R•
The machine learning part is very basic and limited, and there are no deep learning related parts. But I have gained a lot of basic concepts about prognosis, including risk model, survival estimates, Kaplan Meier, hazard, etc. Overall, a decent course.
创建者 Karl J•
Good introduction to these materials, but it's difficult to use this level to incorporate into research. If you want to really use this material, you have to go deeper independently, which isn't much of an issue with the proper motivation.
创建者 A V A•
A good overview of the key concepts, tools and techniques used in medical prognosis with interesting Jupyter notebook exercises and assignments that illustrate the applications and allow us to work hands-on with these techniques..
创建者 Taiki H•
Good practice, but i want more hands-on assignment which focuses on how to build model from scratch, for example about COX model.
创建者 Giulia C•
The course is well done and the content is high quality, as in the previous course of this specialization
创建者 Romain G•
Interesting content, but superficial
创建者 Nyonyintono J P•
Great course. However, i miss how Andrew deconstructs everything - it completely absorbs all your curiosity. When you move to the assignments, without extra work you can fully understand how the libraries work. This however has a different approach, they absolutely open your mind up and enthuse you to do much more background work. really good stuff!
创建者 Irina G•
I liked very much the first course of this specialization, but the second one is a waste of time. Too much of medical heuristics that doesn't transfer to other fields, and will be forgotten in a week after completing this course.
创建者 Martin S•
The part of the course is repeating simple algebra operations from grammar school. Also grading of python labs is based on using specific command instead of validity of results. The ratio of knowledge gained / price is very low.
创建者 Prithviraj J•
This course has more to do with empirical prognosis models, nothing to do with AI.
创建者 geoffrey a•
Good content. Bad quality control. The QC mistakes resulted in wasting hours of student time, and coursera help desk time. It almost resulted in lost income for coursera due to refund of money being my next step I would have taken.