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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Journal of the American Medical Informatics Association : JAMIA, 2018-10, Vol.25 (10), p.1419-1428

2018

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Survey on distance metric learning and dimensionality reduction in data mining

Data mining and knowledge discovery, 2015-03, Vol.29 (2), p.534-564

2015

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MolTrans: Molecular Interaction Transformer for drug–target interaction prediction

Bioinformatics, 2021-05, Vol.37 (6), p.830-836

2021

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Using recurrent neural network models for early detection of heart failure onset

Journal of the American Medical Informatics Association : JAMIA, 2017-03, Vol.24 (2), p.361-370

2017

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SkipGNN: predicting molecular interactions with skip-graph networks

Scientific reports, 2020-12, Vol.10 (1), p.21092, Article 21092

2020

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Introduction to Deep Learning for Healthcare

1st ed. 2021., 2021

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DeepPurpose: a deep learning library for drug–target interaction prediction

Bioinformatics, 2021-04, Vol.36 (22-23), p.5545-5547

2021

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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

IEEE transactions on visualization and computer graphics, 2019-01, Vol.25 (1), p.299-309

2019

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Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

Nature communications, 2023-08, Vol.14 (1), p.5305-5305, Article 5305

2023

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Publishing data from electronic health records while preserving privacy: A survey of algorithms

Journal of biomedical informatics, 2014-08, Vol.50, p.4-19

2014

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Author Correction: Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

Nature communications, 2023-11, Vol.14 (1), p.7586-7586, Article 7586

2023

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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (4), p.733-743

2021

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From hype to reality: data science enabling personalized medicine

BMC medicine, 2018-08, Vol.16 (1), p.150-150, Article 150

2018

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Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics

Nature communications, 2023-05, Vol.14 (1), p.3093-14, Article 3093

2023

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Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later

Genome medicine, 2021-01, Vol.13 (1), p.13-13, Article 13

2021

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DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients

NPJ digital medicine, 2024-01, Vol.7 (1), p.16-9, Article 16

2024

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Discriminative and Distinct Phenotyping by Constrained Tensor Factorization

Scientific reports, 2017-04, Vol.7 (1), p.1114-12, Article 1114

2017

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Predicting drug-resistant epilepsy — A machine learning approach based on administrative claims data

Epilepsy & behavior, 2018-12, Vol.89, p.118-125

2018

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A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data

IEEE transactions on pattern analysis and machine intelligence, 2013-02, Vol.35 (2), p.272-285

2013

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Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

International journal of medical informatics (Shannon, Ireland), 2014-12, Vol.83 (12), p.983-992

2014

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Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization

Journal of biomedical informatics, 2019-05, Vol.93, p.103125-103125, Article 103125

2019

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Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods

Artificial intelligence in medicine, 2016-07, Vol.71, p.57-61

2016

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Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record

Journal of cardiac failure, 2014-07, Vol.20 (7), p.459-464

2014

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FacetAtlas: Multifaceted Visualization for Rich Text Corpora

IEEE transactions on visualization and computer graphics, 2010-11, Vol.16 (6), p.1172-1181

2010

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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

Computers in biology and medicine, 2020-07, Vol.122, p.103801-103801, Article 103801

2020

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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Survey on distance metric learning and dimensionality reduction in data mining

MolTrans: Molecular Interaction Transformer for drug–target interaction prediction

Using recurrent neural network models for early detection of heart failure onset

SkipGNN: predicting molecular interactions with skip-graph networks

Introduction to Deep Learning for Healthcare

DeepPurpose: a deep learning library for drug–target interaction prediction

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

Publishing data from electronic health records while preserving privacy: A survey of algorithms

Author Correction: Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

From hype to reality: data science enabling personalized medicine

Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics

Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later

DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients

Discriminative and Distinct Phenotyping by Constrained Tensor Factorization

Predicting drug-resistant epilepsy — A machine learning approach based on administrative claims data

A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization

Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods

Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record

FacetAtlas: Multifaceted Visualization for Rich Text Corpora

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

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