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Phenotyping through Semi-Supervised Tensor ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 J Henderson 著作2018被引用 36 次 — The goal of PSST is to use information about the disease status of just a few of the patients within the tensor to encourage patients with different statuses to ...
Phenotyping through Semi-Supervised Tensor ...
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由 J Henderson 著作2018被引用 36 次 — PSST yields more discriminative phenotypes compared to the unsupervised methods and more meaningful phenotypes compared to a supervised method.
Figure 3 from Phenotyping through Semi-Supervised Tensor ...
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Semantic Scholar
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Phenotyping through Semi-Supervised Tensor Factorization (PSST) is introduced, a method that leverages disease status knowledge about subsets of patients to ...
Joyce C Ho
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Phenotyping through semi-supervised tensor factorization (PSST). J Henderson, H He, BA Malin, JC Denny, AN Kho, J Ghosh, JC Ho. AMIA annual symposium ...
AMIA 2018, San Francisco, CA
Health NLP
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Health NLP
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2018年11月8日 — Phenotyping through Semi-Supervised Tensor Factorization (PSST) · A Machine Learning-based Early Warning System for Circulatory System ...
Phenotyping through Semi-Supervised Tensor Factorization ...
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情報・システム研究機構
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略語: PSST ; 展開形: Phenotyping through Semi-Supervised Tensor Factorization ...
Unsupervised EHR-based Phenotyping via Matrix and ...
arXiv
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arXiv
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由 F Becker 著作2022被引用 5 次 — Here, we review matrix and tensor factorization-based approaches for electronic health records-based phenotyping, discuss their strengths and ...
Granite: Diversified, Sparse Tensor Factorization for ...
ResearchGate
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ResearchGate
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... into the phenotype derivation process. In this work, we introduce Phenotyping through Semi-Supervised Tensor Factorization (PSST), a method that leverages ...
Unsupervised EHR‐based phenotyping via matrix and ...
Wiley Interdisciplinary Reviews
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Wiley Interdisciplinary Reviews
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由 F Becker 著作2023被引用 5 次 — In this paper, we provide a comprehensive review of low-rank approximation-based approaches for computational phenotyping. The existing ...
Award # 1418504 - SCH: INT: Collaborative Research: ...
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2019年10月30日 — This research project has investigated how to design and apply multi-modal data mining and machine learning methodologies for the information ...