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个人简介
My current research focuses on developing machine learning (ML) models for time series, foremost in healthcare applications, whereas a large focus has been on sepsis prediction from streamed monitoring data in the ICU.
Methodologically, I am interested in all kinds of differentiable models (e.g. Gaussian process adapters, temporal convolutional networks, recurrent architectures, autoencoders etc.). Besides, inspired by a great team, I am also exploring more mathy flavours of ML such as topological data analysis or path signatures.
Methodologically, I am interested in all kinds of differentiable models (e.g. Gaussian process adapters, temporal convolutional networks, recurrent architectures, autoencoders etc.). Besides, inspired by a great team, I am also exploring more mathy flavours of ML such as topological data analysis or path signatures.
研究兴趣
论文共 34 篇作者统计合作学者相似作者
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Yixing Jiang,Jesutofunmi A. Omiye, Cyril Zakka,Michael Moor,Haiwen Gui, Shayan Alipour, Seyed Shahabeddin Mousavi,Jonathan H. Chen,Pranav Rajpurkar,Roxana Daneshjou
medrxiv(2024)
NEJM AIno. 2 (2024)
JAMA NETWORK OPENno. 10 (2023)
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Michael Moor,Qian Huang,Shirley Wu,Michihiro Yasunaga, Cyril Zakka, Yash Dalmia,Eduardo Pontes Reis,Pranav Rajpurkar,Jure Leskovec
Machine Learning for Health Workshop (2023): 353-367
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Natureno. 7956 (2023): 259-265
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