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Lee researches how data-driven, hypothesis-free data analytics can be used to better analyze/interpret nursing data (e.g., nursing homes monitoring data, nursing records, electronic health records). Specifically, his work has examined secondary school students’ chronic absenteeism behavior with social determinants of health using Causal Discovery Analysis (CDA) with machine learning – prediction models comparison.

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