Aaron Kaufman: Causal inference and NLP applied to healthcare data
Автор: Data Science UA
Загружено: 2023-04-27
Просмотров: 280
Aaron Kaufman is an Assistant Professor of Computational Social Science at New York University Abu Dhabi. As an expert in the field, Kaufman will share his research on the applications of ML and NLP in social, behavioral, and medical sciences. He will delve into the intersection of these tools with causal inference statistics and provide insights into how to use low-tech NLP methods to improve data quality and program evaluation.
🔈 During the talk, Kaufman will discuss three specific uses of NLP in the same workflow: missing data imputation, causal matching, and heterogeneous effect estimation. He will show how simple NLP tools can improve all three aspects, without requiring extensive mathematical knowledge.
🔍 The talk will be valuable for anyone involved in applied NLP, A/B testing, ML, Data Science or health data.
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