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个人简介
I primarily work on machine learning for healthcare, with an emphasis on forecasting problems involving survival analysis as well as time series data. A recurring theme in my work is the use of nonparametric prediction methods that aim to make few assumptions on the underlying data. Since these methods inform interventions that can be costly and affect people's well-being, ensuring that predictions are reliable is essential. To this end, in addition to developing nonparametric predictors, I also produce theory to understand when and why they work, and identify forecast evidence to help practitioners make decisions.
Research areas: nonparametric prediction, survival analysis, time series forecasting, missing data, healthcare
Research areas: nonparametric prediction, survival analysis, time series forecasting, missing data, healthcare
研究兴趣
论文共 26 篇作者统计合作学者相似作者
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Gerardo Flores,George H. Chen,Tom J. Pollard,Ayah Zirikly, Michael C. Hughes,Tasmie Sarker,Joyce C. Ho,Tristan Naumann
Conference on Health, Inference, and Learning (CHIL)pp.1-4, (2022)
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arxiv(2022)
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