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About Preparing Next-Generation Scientists For Biomedical Big Data: Artificial Intelligence Approaches
This document provides an overview of the knowledge and skills needed for next-generation scientists to analyze biomedical big data, including artificial intelligence, machine learning, and natural language processing. It discusses how personalized medicine relies on analyzing large electronic health record data to identify meaningful patient subgroups. Finally, it reviews challenges around data management, integration, and analysis in order to develop predictive models for clinical decision making from biomedical big data.
Detailed Information
Author: | ['SAMUEL ESCARES'] |
---|---|
Publication Year: | 2020 |
Pages: | 11 |
Language: | English |
Format: | |
Price: | FREE |
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