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
Data Science in Stratified Healthcare and Precision Medicine
oferecido por
The University of Edinburgh
Informações sobre o curso
4.7
31 classificações
Habilidades que você terá
Data SciencePython ProgrammingMachine LearningImage Analysis
Programa - O que você aprenderá com este curso
Semana
1Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
7 videos (Total 52 min), 8 leituras, 1 teste
7 videos
About the Course2min
Demystifying Data Science4min
Python Basics Part 19min
Python Basics Part 25min
Professor Andrew Morris12min
Professor Aileen Keel15min
8 leituras
Syllabus10min
Course Logistics10min
How to use the Discussion Forums10min
Course Team10min
Acknowledgements10min
Copyright10min
How to use Jupyter Notebooks10min
Programming tips & tricks10min
1 exercício prático
Quiz 120min
Semana
2WELCOME 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!
9 videos (Total 53 min), 1 teste
9 videos
Introduction1min
DNA and Sequencing3min
Modelling the Data3min
Conclusion4min
Professor Tim Aitman13min
Professor David Porteous11min
Introduction1min
Medical Imaging Data & Modalities7min
Analysing Medical Images5min
1 exercício prático
Quiz 220min
Semana
3WELCOME 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.
11 videos (Total 43 min), 1 leitura, 2 testes
11 videos
Introduction1min
Representing Networks3min
Biological Networks5min
Conclusion2min
Introduction2min
Statistical Methods in Medical Research4min
Conclusion3min
Introduction1min
Supervised Learning10min
Unsupervised Learning5min
Conclusion1min
1 leituras
How the Programming Assignment works10min
2 exercícios práticos
Quiz 320min
Programming Assignment Quiz20min
Semana
4WELCOME 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.
9 videos (Total 57 min), 1 leitura, 1 teste
9 videos
Introduction2min
Tasks10min
Computational Methods4min
Angus McCann from IBM7min
Introduction2min
Modelling Processes6min
Analysing Processes6min
Process Mining2min
Rodrigo Barnes from Aridhia13min
1 leituras
IBM Watson10min
1 exercício prático
Quiz 420min
Melhores avaliações
por SW•Jun 8th 2018
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!
por SJ•Sep 1st 2018
One of the great course I have ever done through coursera! Thank you to Dr.Wong and Dr.Areti for their great contribution!
Instrutores
Dr Areti Manataki
Teaching and Research FellowCentre for Medical Informatics
Dr Frances Wong
Data Science MOOC Project LeadCollege of Science and Engineering
Sobre The University of Edinburgh
Influencing the world since 1583, The University of Edinburgh is consistently ranked as one of the world's top 50 universities. Today, we are an established and global leader in online learning, providing degree-level education to 3,000 online students in addition to 36,000 students on-campus. We also offer a wide range of free online courses in a variety of subjects. To find out more about studying for one of our online degrees, search for ‘Edinburgh online’ or visit www.ed.ac.uk/studying/online-learning/postgraduate
Perguntas Frequentes – FAQ
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