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.
Este curso forma parte de Programa especializado: IA para medicina
Ofrecido Por


Acerca de este Curso
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Qué aprenderás
Walk through examples of prognostic tasks
Apply tree-based models to estimate patient survival rates
Navigate practical challenges in medicine like missing data
Habilidades que obtendrás
- Deep Learning
- Machine Learning
- time-to-event modeling
- Random Forest
- model tuning
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Ofrecido por
Programa - Qué aprenderás en este curso
Linear Prognostic Models
Prognosis with Tree-based Models
Survival Models and Time
Build a Risk Model Using Linear and Tree-based Models
Reseñas
- 5 stars78,59 %
- 4 stars16,02 %
- 3 stars3,17 %
- 2 stars1,51 %
- 1 star0,69 %
Principales reseñas sobre AI FOR MEDICAL PROGNOSIS
This was a wonderful course, I am now able to see how this course relates to the actual medical field, where we go from diagnosis to treatment and finally prognosis.
This course is one of the best courses to learn about Medical Prognosis. Really, the survival models were described in great detail. Thank you, Pranav for this wonderful course.
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 !!
after taking Deep Learning Specialization and machine learning and python on coursera things are getting better and clearer in this course.
Acerca de Programa especializado: IA para medicina

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