An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. 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
提供：
Data Science in Stratified Healthcare and Precision Medicine
このコースについて
Learner Career Outcomes
20%
14%
習得するスキル
Learner Career Outcomes
20%
14%
100%オンライン
柔軟性のある期限
中級レベル
約18時間で修了
英語
シラバス - 本コースの学習内容
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.
27件のレビュー
Data Science in Stratified Healthcare and Precision Medicine からの人気レビュー
Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!
good introduction to data sciences from a healthcare perspective\n\ni particularly enjoyed the intro to coding and machine learning,\n\nboth instructors were excellent
講師
Dr Areti Manataki
Teaching and Research Fellow
Dr Frances Wong
Data Science MOOC Project Leadエディンバラ大学（The University of Edinburgh）について
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