Publications citing MIMIC-III Waveform Database v1.0

Big Data Analysis and Machine Learning in Intensive Care Units
A. Núñez Reiz, Miguel Ángel Armengol de la Hoz, Miguel Sánchez García. Medicina Intensiva (English Edition), 2019. Cites: paper

Reproducibility in Machine Learning for Health
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek et al. arXiv (Cornell University), 2019. Cites: paper

A Characteristic Filtering Method for Pulse Wave Signal Quality Assessment
Wan-Hua Lin, Ning Ji, Lin Wang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

A deep learning approach for length of stay prediction in clinical settings from medical records
Tahmina Zebin, Shahadate Rezvy, Thierry Chaussalet. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019. Cites: paper

Atrial Fibrillation Detection in ICU Patients: A Pilot Study on MIMIC III Data
Syed Khairul Bashar, Eric Ding, Daniella Albuquerque et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records
Xueping Peng, Guodong Long, Shirui Pan et al. International Joint Conference on Neural Networks (IJCNN), 2019. Cites: paper

Bi-Dimensional Representation of Patients for Diagnosis Prediction
Weijing Wang, Chenkai Guo, Jing Xu et al. IEEE Annual International Computer Software and Applications Conference (COMPSAC), 2019. Cites: paper

Converging Semantic Knowledge and Deep Learning for Medical Coding
Nuria García-Santa, Beatriz San Miguel, Takanori Ugai. International Journal of Privacy and Health Information Management, 2019. Cites: paper

Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks
Daniel Lopez-Martinez, Patrick C. Eschenfeldt, Sassan Ostvar et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
Tahmina Zebin, Thierry Chaussalet. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019. Cites: paper

Developing Clinical Decision Support Systems for Sepsis Prediction Using Temporal and Non-Temporal Machine Learning Methods
Akash Gupta. SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University), 2019. Cites: paper

Ensemble CNN and MLP with Nurse Notes for Intensive Care Unit Mortality
Aye Hninn Khine, Wiphada Wettayaprasit, Jarunee Duangsuwan. International Joint Conference on Computer Science and Software Engineering, 2019. Cites: paper

Estimated Effects of Early Diuretic Use in Critical Illness
Ian Ellis McCoy, Maria E. Montez‐Rath, Glenn Matthew Chertow et al. Critical Care Explorations, 2019. Cites: paper

Natural Language Processing of Clinical Notes for Improved Early Prediction of Septic Shock in the ICU
Ran Liu, Joseph L. Greenstein, Sridevi V. Sarma et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Rekha Singhal, Nathan Zhang, Luigi Nardi et al. IEEE International Conference on Distributed Computing Systems (ICDCS), 2019. Cites: paper

Precision Medicine and its Role in the Treatment of Sepsis: A Personalised View
Alexandra Elena Lazăr, Anca Meda Georgescu, Alexander A. Vitin et al. The Journal of Critical Care Medicine, 2019. Cites: paper

Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models
Brandon W. Chan, Alireza Sedghi, Philip Laird et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
Brett K. Beaulieu‐Jones, Zhiwei Steven Wu, Chris Williams et al. Circulation Cardiovascular Quality and Outcomes, 2019. Cites: paper

Prognostic value of serum lactate kinetics in critically ill patients with cirrhosis and acute-on-chronic liver failure: a multicenter study
Feng Gao, Xielin Huang, Mengxing Cai et al. Aging, 2019. Cites: paper

UMLS mapping and Word embeddings for ICD code assignment using the MIMIC-III intensive care database
Henning Schäfer, Christoph M. Friedrich. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

New-Onset Atrial Fibrillation as a Sepsis-Defining Organ Failure
Nicholas A. Bosch, Joseph M. Massaro, Michael R Winter et al. Annals of the American Thoracic Society, 2019. Cites: paper

[Research on algorithms for identifying the severity of acute respiratory distress syndrome patients based on noninvasive parameters].
Pengcheng Fu Yajun Yang, Feng Chen, Guang Zhang et al. PubMed Central, 2019. Cites: paper

Aplicação de Mineração de Dados para Predição de Mortalidade em UTI: balanceamento, dados ausentes e classificadores
Jorge S. A. M. Barreto, Ângelo Loula. Anais do Brazilian e-Science Workshop (BreSci), 2019. Cites: paper

Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes
Dixin Luo, Hongteng Xu, Lawrence Carin. arXiv (Cornell University), 2019. Cites: paper

The neutrophil-lymphocyte ratio: A promising predictor of mortality in coronary care unit patients — A cohort study
Huankun Sun, Jiaqun Que, Yangpei Peng et al. International Immunopharmacology, 2019. Cites: paper

Towards Scalable Hybrid Stores
Rana Alotaibi, Damián Bursztyn, Alin Deutsch et al. ACM SIGMOD International Conference on Management of Data (SIGMOD), 2019. Cites: paper

Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale et al. Scientific Data, 2019. Cites: paper

Qualitative subjective assessment of a high‐resolution database in a paediatric intensive care unit—Elaborating the perpetual patient's ID card
David Brossier, Michaël Sauthier, Audrey Mathieu et al. Journal of Evaluation in Clinical Practice, 2019. Cites: paper

Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings
Hong-Jie Dai, Chu-Hsien Su, Chi‐Shin Wu. Journal of the American Medical Informatics Association, 2019. Cites: paper

Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms
Dixin Luo, Hongteng Xu, Lawrence Carin. arXiv (Cornell University), 2019. Cites: paper

Selective prediction-set models with coverage guarantees
Jean Feng, Arjun Sondhi, Jessica Perry et al. arXiv (Cornell University), 2019. Cites: paper

Alleviation of exhaustion-induced immunosuppression and sepsis by immune checkpoint blockers sequentially administered with antibiotics—analysis of a new mathematical model
Avi Gillis, Michael Beil, Karin Halevi-Tobias et al. Intensive Care Medicine Experimental, 2019. Cites: paper

Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study
Qingui Chen, Lishan Zhang, Shanhui Ge et al. PeerJ, 2019. Cites: paper

Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang et al. arXiv (Cornell University), 2019. Cites: paper

A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning
Shuo Chen, Zhong Ji, Haiyan Wu et al. Sensors, 2019. Cites: paper

Examining the weekend effect across ICU performance metrics
Louis J. Faust, Keith Feldman, Nitesh V. Chawla. Critical Care, 2019. Cites: paper

A Case for Backward Compatibility for Human-AI Teams
Gagan Bansal, Besmira Nushi, Ece Semiha Kamar et al. arXiv (Cornell University), 2019. Cites: paper

Faculty Opinions recommendation of Scalable and accurate deep learning with electronic health records.
Karin M. Verspoor. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature, 2019. Cites: paper

An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs
João M. C. Sousa, Susana Margarida Vieira, João Paulo Carvalho et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019. Cites: paper

A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings
Xi Yang, Tianchen Lyu, Chih-Yin Lee et al. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

BioSentVec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, Zhiyong Lu. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

ChronoCorrelator: Enriching Events with Time Series
M.A.M.M. van Dortmont, Stef van den Elzen, Jarke J. van Wijk. Computer Graphics Forum, 2019. Cites: paper

Context-Aware Imputation for Clinical Time Series
Kejing Yin, William K. Cheung. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

Deep Imputation of Temporal Data
Chao Yan, Cheng Gao, Xinmeng Zhang et al. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

Deep Inverse Reinforcement Learning for Sepsis Treatment
Chao Yu, Guoqi Ren, Jiming Liu. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models
John R. Zech, Jessica Zosa Forde, Joseph J. Titano et al. Annals of Translational Medicine, 2019. Cites: paper

Discovering and Analyzing Trend-Event Patterns on Clinical Data
Matteo Mantovani, Carlo Combi, Matteo Zeggiotti. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features
Xu Xiao, Junmei Wang, Xian Xu et al. IEEE International Conference on Healthcare Informatics (ICHI), 2019. Cites: paper

Fuzzy Modeling of Survival Associated to Insulin Therapy in the ICU
Aldo Robles Arévalo, Bernardo Firme, Susana Margarida Vieira et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019. Cites: paper

Healthcare processes of laboratory tests for the prediction of mortality in the intensive care unit: a retrospective study based on electronic healthcare records in the USA
Zhongheng Zhang, Hemant Goyal, Theis Lange et al. BMJ Open, 2019. Cites: paper

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