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
提供方
Data Science in Stratified Healthcare and Precision Medicine
课程信息
Learner Career Outcomes
20%
14%
您将获得的技能
Learner Career Outcomes
20%
14%
100% 在线
可灵活调整截止日期
中级
完成时间大约为18 小时
英语（English）
教学大纲 - 您将从这门课程中学到什么
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 条评论
来自Data Science in Stratified Healthcare and Precision Medicine的热门评论
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
讲师
Dr Areti Manataki
Teaching and Research Fellow
Dr Frances Wong
Data Science MOOC Project Lead关于 爱丁堡大学
常见问题
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我购买证书后会得到什么？
您购买证书后，将有权访问所有课程材料，包括评分作业。完成课程后，您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。