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.
Data Science in Stratified Healthcare and Precision Medicine
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There are 5 modules in this course
Join us this week to find out how the course works and to try your hand at programming in Python!
What's included
7 videos8 readings1 quiz2 ungraded labs
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!
What's included
9 videos1 quiz1 ungraded lab
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.
What's included
11 videos1 reading2 quizzes2 ungraded labs
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.
What's included
9 videos1 reading1 quiz1 ungraded lab
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.
What's included
7 videos4 readings1 quiz1 peer review1 ungraded lab
Instructors
Offered by
Recommended if you're interested in Data Analysis
Universiteit Leiden
University of Colorado Boulder
Politecnico di Milano
University of California San Diego
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