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Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and
  Unstructured Electronic Health Record Data with Memory Networks

Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

10 April 2019
Zhenxing Xu
Jingyuan Chou
Xi Sheryl Zhang
Yuan Luo
T. Isakova
P. Adekkanattu
J. Ancker
Guoqian Jiang
Richard C. Kiefer
J. Pacheco
Luke Rasmussen
Jyotishman Pathak
Fei Wang
ArXivPDFHTML

Papers citing "Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks"

7 / 7 papers shown
Title
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records
  through Hierarchical Guided-Topic Modeling
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
Ruohan Wang
Zilong Wang
Ziyang Song
David L. Buckeridge
Yue Li
20
0
0
17 Oct 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and
  Active Sensing
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Changchang Yin
Ruoqi Liu
Bingsheng Yao
Dongdong Zhang
Jeffrey Caterino
Ping Zhang
29
42
0
24 Jul 2024
Deep learning for understanding multilabel imbalanced Chest X-ray
  datasets
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
H. Liz
Javier Huertas-Tato
Manuel Sánchez-Montanés
Javier Del Ser
David Camacho
SSL
27
25
0
28 Jul 2022
A Scalable Workflow to Build Machine Learning Classifiers with
  Clinician-in-the-Loop to Identify Patients in Specific Diseases
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases
Jingqing Zhang
Atri Sharma
Luis Bolaños
Tong Li
Ashwani Tanwar
Vibhor Gupta
Yike Guo
22
1
0
18 May 2022
Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Ziyi Liu
Jiaqi Zhang
Yongshuai Hou
Xinran Zhang
Ge Li
Yang Xiang
19
14
0
09 Nov 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class
  Setting: Phenotype Annotation Use Case
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Jingqing Zhang
Luis Bolaños
T. Li
Ashwani Tanwar
Guilherme Freire
Xian Yang
Julia Ive
Vibhor Gupta
Yike Guo
18
14
0
04 Sep 2021
Clinical Utility of the Automatic Phenotype Annotation in Unstructured
  Clinical Notes: ICU Use Cases
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Jingqing Zhang
Luis Bolaños
Ashwani Tanwar
Julia Ive
Vibhor Gupta
Yike Guo
16
2
0
24 Jul 2021
1