TASTE-Reference-Cited by-同舟云学术

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TASTE

Published:2020-04-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Conference on Health, Inference, and Learning
language:
Short-container-title:

Author:

Afshar Ardavan¹,Perros Ioakeim²,Park Haesun¹,deFilippi Christopher³,Yan Xiaowei⁴,Stewart Walter⁵,Ho Joyce⁶,Sun Jimeng¹

Affiliation:

1. Georgia Institute of Technology

2. HEALTH[at]SCALE

3. INOVA

4. Sutter Health

5. Medicurio

6. Emory University

Funder

National Science Foundation

National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368555.3384464

Reference30 articles.

1. PEARL

2. SUSTain

3. Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization

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1. Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective;Journal of Biomedical Informatics;2024-08

2. SWoTTeD: an extension of tensor decomposition to temporal phenotyping;Machine Learning;2024-04-30

3. Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation;JMIR Formative Research;2024-04-22

4. FedPAR: Federated PARAFAC2 tensor factorization for computational phenotyping;IISE Transactions on Healthcare Systems Engineering;2024-04-08

5. Establishing Best Practices for Generating Synthetic Health Data: Model Development and Validation (Preprint);2023-10-02

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