This module introduces students to the main principles of health data science and provides them with a overview of the main research areas where these are applied. Though a combination of lectures, invited speakers, computer practicals and group work, students will become familiar with clinical terminologies, data linkage, translational bioinformatics and phenotyping electronic health records for research. Additionally, a series of lectures will introduce methods for processing health data in a data-driven manner such as machine learning, natural language processing and advanced methods for mining massive datasets such as Hadoop and NoSQL.
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