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.
This course is part of the AI for Medicine Specialization
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Offered By
AI for Medicine SpecializationDeepLearning.AIAbout this Course
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Flexible deadlines
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Shareable Certificate
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Course 3 of 3 in the
Intermediate Level
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Approx. 23 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
What you will learn
Estimate treatment effects using data from randomized control trials
Explore methods to interpret diagnostic and prognostic models
Apply natural language processing to extract information from unstructured medical data
Skills you will gain
- treatment effect estimation
- machine learning interpretation
- Random Forest
- natural language entity extraction
- question-answering
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Intermediate Level
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Approx. 23 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
DeepLearning.AI
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Syllabus - What you will learn from this course
8 hours to complete
Treatment Effect Estimation
In this week, you will learn: How to analyze data from a randomized control trial, interpreting multivariate models, evaluating treatment effect models, and interpreting ML models for treatment effect estimation.
8 hours to complete
12 videos (Total 43 min), 4 readings, 3 quizzes
7 hours to complete
Medical Question Answering
In this week, you will learn how to extract disease labels from clinical reports, and also question answering with BERT.
7 hours to complete
10 videos (Total 32 min)
7 hours to complete
ML Interpretation
In this week, you will learn how to interpret deep learning models, and also feature importance in machine learning.
7 hours to complete
9 videos (Total 29 min), 3 readings, 2 quizzes
Reviews
- 5 stars77.84%
- 4 stars15.61%
- 3 stars4.21%
- 2 stars1.26%
- 1 star1.05%
TOP REVIEWS FROM AI FOR MEDICAL TREATMENT
by NVJan 20, 2021
Programming assignments really contributed to the understanding of the material. Succinctly presented. Liked the course, thank you!
by OVJun 5, 2020
Building a treatment model and evaluation, take this course to fully understand what to consider. A practical Model for Mediacl Treament
by SYJun 6, 2020
Great Course overall, I felt that week-1 is a bit theoretical rest is fine. Glad to learn about the interpretation of models.
by NKNov 12, 2020
The assignment was very heavy. It was better to have some practical case studies to understand the implementation steps.
About the AI for Medicine Specialization
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 three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
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