2020: my scientific year in review
Read OriginalThe article is a personal year-in-review by a data scientist, detailing technical work on applying machine learning and data science to healthcare challenges in 2020. Key projects include mining messy electronic health records for COVID-19 insights at Parisian hospitals and developing tools for neuroscience research like NeuroQuery. It discusses the practical data science challenges of working with real-world, unnormalized medical data, SQL/pandas, and statistical validity.
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