About this Course

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Course 3 of 3 in the
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Intermediate Level

We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.

Approx. 22 hours to complete
English

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 estimationmachine learning interpretationRandom Forestnatural language entity extractionquestion-answering
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 3 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.

Approx. 22 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

8 hours to complete

Treatment Effect Estimation

8 hours to complete
12 videos (Total 43 min), 3 readings, 2 quizzes
12 videos
About Course 31m
Absolute risk reduction2m
Randomized control trials4m
Causal inference4m
Average treatment effect4m
Conditional average treatment effect4m
T-Learner3m
S-Learner4m
Evaluate individualized treatment effect3m
C-for-benefit2m
C-for-benefit calculation5m
3 readings
Connect with your mentors and fellow learners on Slack10m
About the automatic grader10m
How to refresh your workspace10m
1 practice exercise
Quiz: Measuring Treatment Effects30m
Week
2

Week 2

7 hours to complete

Medical Question Answering

7 hours to complete
10 videos (Total 32 min)
10 videos
Handling words with multiple meanings2m
Define the answer in a text4m
Automatic label extraction for medical imaging3m
Synonyms for labels2m
Is-a relationships for labels3m
Presence or absence of a disease2m
Evaluating label extraction1m
Precision and recall and F1 score4m
Evaluating on multiple disease categories3m
1 practice exercise
Quiz: Information Extraction with NLP30m
Week
3

Week 3

7 hours to complete

ML Interpretation

7 hours to complete
9 videos (Total 29 min), 2 readings, 2 quizzes
9 videos
Permutation method2m
Individual feature importance3m
Shapley values2m
Combining importances4m
Shapley values for all patients3m
Interpreting CNN models2m
Localization maps4m
Heat maps3m
2 readings
Acknowledgements10m
Citations10m
1 practice exercise
ML Interpretation30m

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About the AI for Medicine Specialization

AI for Medicine

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