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.
Ce cours fait partie de la Spécialisation IA pour la médecine
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À propos de ce cours
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Ce que vous allez apprendre
Walk through examples of prognostic tasks
Apply tree-based models to estimate patient survival rates
Navigate practical challenges in medicine like missing data
Compétences que vous acquerrez
- 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.
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Programme de cours : ce que vous apprendrez dans ce cours
Linear Prognostic Models
Prognosis with Tree-based Models
Survival Models and Time
Build a Risk Model Using Linear and Tree-based Models
Avis
- 5 stars78,59 %
- 4 stars16,02 %
- 3 stars3,17 %
- 2 stars1,51 %
- 1 star0,69 %
Meilleurs avis pour AI FOR MEDICAL PROGNOSIS
This course enabled me to apply machine learning for prognosis related scenario & learn multiple risk assessment related scenario.
The course is amazing. And practical quizzes and assignments are just perfect and up-to date with current affairs.
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.
after taking Deep Learning Specialization and machine learning and python on coursera things are getting better and clearer in this course.
À propos du Spécialisation IA pour la médecine

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