Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

Interpretable machine learning: Fundamental principles and 10 grand challenges

(2022) Cynthia Rudin et al.   Statistics Surveys

EHR2CCAS: A framework for mapping EHR to disease knowledge presenting causal chain of disorders – chronic kidney disease example

(2021) Xiaojun Ma et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

(2021) Feng Xie et al.   JAMA Network Open

Early detection of sepsis utilizing deep learning on electronic health record event sequences

(2020) Simon Meyer Lauritsen et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

(2020) Jose Roberto Ayala Solares et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk

(2020) Sebastiano Barbieri et al.   Scientific Reports

Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

(2020) Subendhu Rongali et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks

(2020) Deyin Liu et al.   NEURAL NETWORKS

ICD-11 vs. ICD-10 – a review of updates and novelties introduced in the latest version of the WHO International Classification of Diseases

(2020) Piotr Krawczyk et al.   Psychiatria Polska

BEHRT: Transformer for Electronic Health Records

(2020) Yikuan Li et al.   Scientific Reports

CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction

(2020) Youru Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Interpretable clinical prediction via attention-based neural network

(2020) Peipei Chen et al.   BMC Medical Informatics and Decision Making

Feature rearrangement based deep learning system for predicting heart failure mortality

(2020) Zhe Wang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking

(2020) Yang An et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study

(2020) Yang Xiang et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

(2020) Hyung Jun Park et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: A sepsis case study

(2020) Akash Gupta et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study

(2020) Timur Köse et al.   Biomed Research International

Graph Neural Network-Based Diagnosis Prediction

(2020) Yang Li et al.   Big Data

AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records (Preprint)

(2020) Feng Xie et al.   JMIR Medical Informatics

Endpoint prediction of heart failure using electronic health records

(2020) Jiebin Chu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

(2020) Yuqi Si et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Adversarial multi-source transfer learning in healthcare: Application to glucose prediction for diabetic people

(2020) Maxime De Bois et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep Learning for Spatio-Temporal Data Mining: A Survey

(2020) Senzhang Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An attention based deep learning model of clinical events in the intensive care unit

(2019) Deepak A. Kaji et al.   PLoS One

LSTM Model for Prediction of Heart Failure in Big Data

(2019) G. Maragatham et al.   JOURNAL OF MEDICAL SYSTEMS

Time-sensitive clinical concept embeddings learned from large electronic health records

(2019) Yang Xiang et al.   BMC Medical Informatics and Decision Making

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

(2019) Yu-Wei Lin et al.   PLoS One

Multitask learning and benchmarking with clinical time series data

(2019) Hrayr Harutyunyan et al.   Scientific Data

Readmission prediction using deep learning on electronic health records

(2019) Awais Ashfaq et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network

(2019) Samuele Fiorini et al.   PLoS One

Representation learning for clinical time series prediction tasks in electronic health records

(2019) Tong Ruan et al.   BMC Medical Informatics and Decision Making

Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients

(2019) Ruoxi Yu et al.   IEEE Journal of Biomedical and Health Informatics

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction

(2019) Tao He et al.   IEEE Journal of Biomedical and Health Informatics

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records

(2019) Huilong Duan et al.   IEEE Journal of Biomedical and Health Informatics

Deep Patient Similarity Learning for Personalized Healthcare

(2018) Qiuling Suo et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Modeling asynchronous event sequences with RNNs

(2018) Stephen Wu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

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

(2018) Cao Xiao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Readmission prediction via deep contextual embedding of clinical concepts

(2018) Cao Xiao et al.   PLoS One

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Predicting hospital readmission for lupus patients: An RNN-LSTM-based deep-learning methodology

(2018) Bhargava K Reddy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2018) Bum Chul Kwon et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

A regularized deep learning approach for clinical risk prediction of acute coronary syndrome using electronic health records

(2017) Zhengxing Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Modeling Healthcare Quality via Compact Representations of Electronic Health Records

(2017) Jelena Stojanovic et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Learning from heterogeneous temporal data in electronic health records

(2017) Jing Zhao et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Predicting healthcare trajectories from medical records: A deep learning approach

(2017) Trang Pham et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

(2017) Benjamin Shickel et al.   IEEE Journal of Biomedical and Health Informatics

Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis

(2017) Stergios Christodoulidis et al.   IEEE Journal of Biomedical and Health Informatics

$\mathtt {Deepr}$: A Convolutional Net for Medical Records

(2017) Phuoc Nguyen et al.   IEEE Journal of Biomedical and Health Informatics

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

(2016) Edward Choi et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

(2016) Benjamin A Goldstein et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data

(2016) Nancy Jane et al.   Applied Clinical Informatics

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

(2015) Truyen Tran et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

(2015) Anima Singh et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Supersparse linear integer models for optimized medical scoring systems

(2015) Berk Ustun et al.   MACHINE LEARNING

One-Hot Vector Hybrid Associative Classifier for Medical Data Classification

(2014) Abril Valeria Uriarte-Arcia et al.   PLoS One

A review of approaches to identifying patient phenotype cohorts using electronic health records

(2013) Chaitanya Shivade et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

(2013) Thomas A. Lasko et al.   PLoS One

A survey of SNOMED CT implementations

(2012) Dennis Lee et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Baseline Observation Carry Forward: Reasoning, Properties, and Practical Issues

(2009) Jun Shao et al.   Journal of Biopharmaceutical Statistics

Definition, structure, content, use and impacts of electronic health records: A review of the research literature

(2008) K HAYRINEN et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS