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Enhancing Model Interpretability and Accuracy for Disease Progression
  Prediction via Phenotype-Based Patient Similarity Learning

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning

Pacific Symposium on Biocomputing (PSB), 2019
26 September 2019
Yue Wang
Tong Wu
Yunlong Wang
Gao Wang
ArXiv (abs)PDFHTML

Papers citing "Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning"

2 / 2 papers shown
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
Florian Becker
A. Smilde
E. Acar
231
10
0
01 Sep 2022
eTREE: Learning Tree-structured Embeddings
eTREE: Learning Tree-structured EmbeddingsAAAI Conference on Artificial Intelligence (AAAI), 2020
Faisal M. Almutairi
Yunlong Wang
Dong Wang
E. Zhao
N. Sidiropoulos
193
4
0
20 Dec 2020
1
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