Data Science in Stratified Healthcare and Precision Medicine
University of Edinburgh via Coursera
Social Learning for Open Courses
Join one of our cohorts to learn from instructors, experts, or each other with weekly live streams.
-
YouTube
TOEFL Speaking WorkshopAs part of Class Central’s experiments on social learning, we're organizing a Cohort on TOEFL Speaking. For two weeks, beginning Feb 14, we'll study the TOEFL Speaking Series and meet twice a week over Zoom to practice together.
Feb 14, 20222 weeks
-
Coursera
Uncommon Sense TeachingA Cohort with the acclaimed Instructor Barbara Oakley with 4+ million learners worldwide. This course weaves late-breaking insights from neuroscience with practical new approaches from the classroom.
Jan 17, 2022635 enrolled
Overview
Class Central Tips
In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies.
Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data.
Watch the course promo video here: http://edin.ac/2pn350P
Syllabus
- Welcome to the Course
- Join us this week to find out how the course works and to try your hand at programming in Python!
- WELCOME TO WEEK 2
- This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!
- WELCOME TO WEEK 3
- This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field.
- WELCOME TO WEEK 4
- This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes.
- WELCOME TO WEEK 5
- In this final week of the course you will learn how the Graph Data model allows for effective linkage of different data in the life sciences. You will also explore societal, legal and ethical implications of precision medicine and stratified healthcare.
Taught by
Dr Areti Manataki and Dr Frances Wong
Never Stop Learning!
