Publications citing MIMIC-III Waveform Database v1.0

An application of machine learning to assist medication order review by pharmacists in a health care center
Maxime Thibault, Denis Lebel. medRxiv, 2019. Cites: paper

Attributable nephrotoxicity of vancomycin in critically ill patients: a marginal structural model study
Frederico Carlos de Sousa Arnaud, Alexandre Braga Libório. Journal of Antimicrobial Chemotherapy, 2019. Cites: paper

Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians
Haoran Zhang, Elisa Candido, Andrew S. Wilton et al. Pacific Symposium on Biocomputing (PSB), 2019. Cites: paper

Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network
Ke Yu, Mingda Zhang, Tianyi Cui et al. Pacific Symposium on Biocomputing (PSB), 2019. Cites: paper

Development of data dictionary for neonatal intensive care unit: advancement towards a better critical care unit
Harpreet Singh, Ravneet Kaur, Satish Saluja et al. JAMIA Open, 2019. Cites: paper

medExtractR: A targeted, customizable approach to medication extraction from electronic health records
Hannah L. Weeks, Cole Beck, Elizabeth A. McNeer et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Challenges of developing a digital scribe to reduce clinical documentation burden
Juan C. Quiroz, Liliana Laranjo, Ahmet Baki Kocaballi et al. npj Digital Medicine, 2019. Cites: paper

A Fusion Model-Based Label Embedding and Self-Interaction Attention for Text Classification
Yanru Dong, Peiyu Liu, Zhenfang Zhu et al. IEEE Access, 2019. Cites: paper

Faculty Opinions recommendation of Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.
Stefan Schulz. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature, 2019. Cites: paper

Length of stay prediction for ICU patients using individualized single classification algorithm
Xin Ma, Yabin Si, Zifan Wang et al. Computer Methods and Programs in Biomedicine, 2019. Cites: paper

longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data
Duc Thanh Anh Luong, Prerna Singh, Mahin Ramezani et al. Journal of Healthcare Informatics Research, 2019. Cites: paper

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series
Yang Guo, Zhengyuan Liu, Krishnswamy, Pavitra et al. arXiv (Cornell University), 2019. Cites: paper

Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare
Natalia Martínez, Martín Bertrán, Guillermo Sapiro. arXiv (Cornell University), 2019. Cites: paper

Effects of Fluid Resuscitation on Organ Failure and Mortality in Patients with Acute Pancreatitis and Systemic Inflammatory Response Syndrome: A Retrospective Cohort Study
Lei Li. Biomedical Journal of Scientific & Technical Research, 2019. Cites: paper

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records
Prithwish Chakraborty, Fei Wang, Jianying Hu et al. arXiv (Cornell University), 2019. Cites: paper

Modelling EHR timeseries by restricting feature interaction
Kun Zhang, Yuan Xue, Flores, Gerardo et al. arXiv (Cornell University), 2019. Cites: paper

Synthetic Event Time Series Health Data Generation
Saloni Dash, Ritik Dutta, Isabelle Guyon et al. arXiv (Cornell University), 2019. Cites: paper

Federated and Differentially Private Learning for Electronic Health Records
Pfohl, Stephen R., Andrew M. Dai, Katherine Heller. arXiv (Cornell University), 2019. Cites: paper

Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
Kim, Yoonjung, Jeremy C. Weiss. arXiv (Cornell University), 2019. Cites: paper

Early lactate measurement is associated with better outcomes in septic patients with an elevated serum lactate level
Hui Chen, Chenyan Zhao, Wei Yao et al. Critical Care, 2019. Cites: paper

Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS
Alicja Piotrkowicz, Owen Ashby Johnson, Geoff D. Hall. Journal of Biomedical Semantics, 2019. Cites: paper

Um Modelo para Assistência Educacional Ubíqua orientado a Doenças Crônicas Não Transmissíveis
Andrêsa Vargas Larentis, Débora Nice Ferrari Barbosa, Carla Silva et al. Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação, 2019. Cites: paper

Discovering Invariances in Healthcare Neural Networks
Mohammad Taha Bahadori, Layne C. Price. arXiv (Cornell University), 2019. Cites: paper

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients
Lili Chan, Kelly H. Beers, Amy Yau et al. Kidney International, 2019. Cites: paper

SECNLP: A survey of embeddings in clinical natural language processing
Katikapalli Subramanyam Kalyan, S. Sangeetha. Journal of Biomedical Informatics, 2019. Cites: paper

Caution should be taken when using electronic health record database
Lina Wang, Xiaoming Wu. Critical Care, 2019. Cites: paper

Élaboration et validation d'une base de données haute résolution destinée à la calibration d'un patient virtuel utilisable pour l'enseignement et la prise en charge personnalisée des patients en réanimation pédiatrique
David Brossier. 2019. Cites: paper

Understanding the relationship between healthcare processes and in-hospital weekend mortality using MIMIC III
Varun Mandalapu, Benjamin Ghaemmaghami, Renee Mitchell et al. Smart Health, 2019. Cites: paper

Characterization and validation of a novel measure of septic shock severity
Nicholas A. Bosch, Bijan J. Teja, Hannah Wunsch et al. Intensive Care Medicine, 2019. Cites: paper

Learning unsupervised contextual representations for medical synonym discovery
Elliot Schumacher, Mark H. Dredze. JAMIA Open, 2019. Cites: paper

A Long Short-Term Memory Ensemble Approach for Improving the Outcome Prediction in Intensive Care Unit
Jing Xia, Su Pan, Min Zhu et al. Computational and Mathematical Methods in Medicine, 2019. Cites: paper

EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation
Xiancheng Xie, Yun Xiong, Philip S. Yu et al. ACM International Conference on Information and Knowledge Management (CIKM), 2019. Cites: paper

Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning
Shanshan Wang, Pengjie Ren, Zhumin Chen et al. ACM International Conference on Information and Knowledge Management (CIKM), 2019. Cites: paper

UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction
Qingxiong Tan, Andy Jinhua Ma, Mang Ye et al. ACM International Conference on Information and Knowledge Management (CIKM), 2019. Cites: paper

A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets
Zhe Sun, Shaoliang Peng, Yaning Yang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

A Multi-channel Convolutional Neural Network for ICD Coding
Jie Chen, Fei Teng, Zheng Ma et al. International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019. Cites: paper

An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction
Peng Cao, Shanshan Tang, Min Huang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

A Proof-of-Concept 70 nA ECG Processor for Real-Time R-Wave and NN50 Detection
Hakan Töreyin. Journal of Physics Conference Series, 2019. Cites: paper

Assessing Context-Aware Data Consistency
Goutam Mylavarapu, K. Ashwin Viswanathan, Johnson P. Thomas. IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), 2019. Cites: paper

Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code
Yuwen Chen, Jiangtao Ren. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records
Mohammad S. Alodadi, Vandana Pursnani Janeja. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Clinical named-entity recognition: A short comparison
Juan Antonio Lossio-Ventura, Sebastien Boussard, Juandiego Morzán et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Continuous blood pressure measurement based on photoplethysmography
Yi Chen, Cheng Jian, Wenqiang Ji. IEEE International Conference on Electronic Measurement & Instruments, 2019. Cites: paper

Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks
Qing Li, Lei Frank Huang, Jiang Zhong et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data
Yujuan Feng, Zhenxing Xu, Lin Gan et al. Proceedings, 2019. Cites: paper

Disease Prediction Model Based on BiLSTM and Attention Mechanism
Yang Yang, Xiangwei Zheng, Cun Ji. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Domain Knowledge Guided Deep Learning with Electronic Health Records
Changchang Yin, Rongjian Zhao, Buyue Qian et al. Proceedings, 2019. Cites: paper

Hierarchical Adaptive Multi-task Learning Framework for Patient Diagnoses and Diagnostic Category Classification
Salim Malakouti, Miloš Hauskrecht. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks
Anahita Hosseini, Tyler A. Davis, Majid Sarrafzadeh. IEEE ... International Conference on Data Mining workshops, 2019. Cites: paper

How Robust is Your Automatic Diagnosis Model?
Ke Wang, Guangyu Wang, Ning Chen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

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