Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data

24 February 2021

Papers citing "Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data"

10 / 10 papers shown

Title
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 101 163 0 06 Oct 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction L. Rasmy Yang Xiang Z. Xie Cui Tao Degui Zhi AI4MH LM&MA 99 696 0 22 May 2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data E. Steinberg Kenneth Jung Jason Alan Fries Conor K. Corbin Stephen Pfohl N. Shah 88 109 0 06 Jan 2020
BEHRT: Transformer for Electronic Health Records Yikuan Li Shishir Rao J. R. A. Solares A. Hassaine D. Canoy Yajie Zhu K. Rahimi G. Salimi-Khorshidi OOD 113 465 0 22 Jul 2019
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk S. Barbieri James Kemp O. Perez-Concha S. Kotwal M. Gallagher A. Ritchie Louisa R Jorm 63 76 0 21 May 2019
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record Jinghe Zhang Kamran Kowsari James H. Harrison J. Lobo Laura E. Barnes 76 136 0 10 Oct 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data Yanbo Xu Siddharth Biswal S. Deshpande K. Maher Jimeng Sun 70 168 0 23 Jul 2018
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks Fenglong Ma Radha Chitta Jing Zhou Quanzeng You Tong Sun Jing Gao 60 557 0 19 Jun 2017
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 123 1,249 0 19 Aug 2016
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,460 0 24 Jun 2012