Scott Lee's repositories

NRC

Natural language generation for discrete data in EHRs

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document-classification

Simple command-line scripts for document classification

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hamlet

Deep learning for interpreting chest x-rays

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fairness

Enforcing fairness in binary and multiclass classification

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injury-autocoding

An ensemble of BERTs for classifying injury narratives

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autism-surveillance

Text classification algorithms for autism surveillance

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covid-casedefs

Analytic code from our paper on COVID surveillance case definitions

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enriched-LSTMs

Classifying multimodal health data with LSTMs

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graphcast

Python package for using graph neural networks (GNNs) to model time-series data

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nndss-synthetic-data-generator

Statistical methods for generating synthetic NNDSS data

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kudos

Combinatorial optimization for developing public health case definitions

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R-samples

A small collection of R code I've written for various projects at CDC

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template

Template repository with rules, practices, and privacy, license, records, notices to help programs use the CDCgov organization.

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