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    Browsing by Author "University of Wisconsin-Madison. Dept. of Biostatistics and Medical Informatics"

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      • Machine Learning from Irregularly-Sampled Temporal Data: A Case Study in Predicting Across Most Diseases in Electronic Health Records 

        Page, David (2018-02-27)
        Much of the world’s real data on people is irregularly-sampled, temporal, and observational (meaning we don’t get to experiment as in a randomized clinical trial). For example, customers make purchases on various dates ...

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