Publications citing MIMIC-III Waveform Database Matched Subset v1.0

A Comparison of Deep Learning Methods for ICD Coding of Clinical Records
Elias Moons, Aditya Khanna, Abbas Akkasi et al. Applied Sciences, 2020. Cites: paper

Estimation Methods for Optimal Treatment Decisions with Electronic Medical Record Data.
Kevin Patrick Gunn. NCSU Libraries Repository (North Carolina State University Libraries), 2020. Cites: paper

Association Between Early Central Venous Pressure Measurement and Mortality in Patients With Sepsis: A Retrospective Study
Han Chen, Shurong Gong, Xiuling Shang et al. Research Square, 2020. Cites: paper

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
Yuhao Zhang, Yuhui Zhang, Peng Qi et al. arXiv (Cornell University), 2020. Cites: paper

Accelerating ophthalmic artificial intelligence research: the role of an open access data repository
Ashley Kras, Leo Anthony Celi, John B. Miller. Current Opinion in Ophthalmology, 2020. Cites: paper

AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records
Feng Xie, Bibhas Chakraborty, Marcus Eng Hock Ong et al. JMIR Medical Informatics, 2020. Cites: paper

Neural Temporal Point Processes For Modelling Electronic Health Records
Joseph Enguehard, Dan Busbridge, A. J. Bozson et al. arXiv (Cornell University), 2020. Cites: paper

EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings
Nils Rethmeier, Oguz Serbetci, Sebastian Möller et al. medRxiv, 2020. Cites: paper

Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task
Steven R. Chamberlin, Steven D. Bedrick, Aaron Michael Cohen et al. JAMIA Open, 2020. Cites: paper

Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach
Rui Li, Changchang Yin, Samuel Yang et al. Journal of Medical Internet Research, 2020. Cites: paper

Clinical concept extraction using transformers
Xi Yang, Jiang Bian, William R. Hogan et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Coding Electronic Health Records with Adversarial Reinforcement Path Generation
Shanshan Wang, Pengjie Ren, Zhumin Chen et al. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. Cites: paper

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich et al. arXiv (Cornell University), 2020. Cites: paper

Elevated serum iron level is a predictor of prognosis in ICU patients with acute kidney injury
Jie Shu, Yufeng Hu, Xueshu Yu et al. BMC Nephrology, 2020. Cites: paper

Lessons and tips for designing a machine learning study using EHR data
Jaron Arbet, Cole Brokamp, Jareen K. Meinzen‐Derr et al. Journal of Clinical and Translational Science, 2020. Cites: paper

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
Sidney Le, Emily Pellegrini, Abigail Green‐Saxena et al. Journal of Critical Care, 2020. Cites: paper

Outcomes for Patients with Sepsis Following Admission to the Intensive Care Unit Based on Health Insurance Status: A Study from the Medical Information Mart for Intensive Care-III (MIMIC-III) Database
Ying Zhou, Di Yang, Qiang John Fu et al. Medical Science Monitor, 2020. Cites: paper

Prediction on critically ill patients: The role of “big data”
Lucas Bulgarelli, Rodrigo Octávio Deliberato, Alistair E. W. Johnson. Journal of Critical Care, 2020. Cites: paper

Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking
Long Chen, Wenbo Fu, 裕二池谷 et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Thangamuthu Poongodi, D. Sumathi, P. Suresh et al. Studies in computational intelligence, 2020. Cites: paper

Simulating drug effects on blood glucose laboratory test time series with a conditional WGAN
Alexandre Yahi, Nicholas P. Tatonetti. medRxiv, 2020. Cites: paper

A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott, Bret A. Nestor, Evan Kim et al. arXiv (Cornell University), 2020. Cites: paper

A machine learning approach for mortality prediction only using non-invasive parameters
Guang Zhang, Jiameng Xu, Ming Yang Yu et al. Medical & Biological Engineering & Computing, 2020. Cites: paper

Sex differences in short-and long-term survival among critically ill patients with sepsis: a real-world study using propensity scoring methods
Shan Lin, Shanhui Ge, Wanmei He et al. 2020. Cites: paper

Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
Benjamin Schloss, Sandeep Konam. arXiv (Cornell University), 2020. Cites: paper

What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions
Kristina Gagalova, M Angelica Leon Elizalde, Élodie Portales-Casamar et al. JMIR Formative Research, 2020. Cites: paper

Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open Databases
Seung-Man Yang, Jangjay Sohn, Saram Lee et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study
Mohamed Abdalla, Moustafa Abdalla, Graeme Hirst et al. Journal of Medical Internet Research, 2020. Cites: paper

Central venous pressure measurement is associated with improved outcomes in septic patients: an analysis of the MIMIC-III database
Hui Chen, Zhu Zhu, Chenyan Zhao et al. Critical Care, 2020. Cites: paper

On the tracking of sensitive data and confidential executions
José Roberto Nascimento, José Benardi de Souza Nunes, Eduardo de Lucena Falcão et al. ACM International Conference on Distributed and Event-Based Systems (DEBS), 2020. Cites: paper

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking
Yang An, Yakun Mao, Liang Zhang et al. Journal of Biomedical Informatics, 2020. Cites: paper

VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Ping Jin, Yuejiao Sun et al. arXiv (Cornell University), 2020. Cites: paper

Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach
Brandon W. Chan, Brian Chen, Alireza Sedghi et al. Scientific Reports, 2020. Cites: paper

Association of Plasma Lactate Level With 28-day Mortality in Non-elderly and Elderly Sepsis Patients: A Retrospective Cohort Study Based on the Mimic-III Database
Yihua Dong, Xiaoyang Miao, Yufeng Hu et al. 2020. Cites: paper

A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
Pablo Mesejo, Rubén Martos, Oscar C. Ibáñez et al. Applied Sciences, 2020. Cites: paper

Performance evaluation of real-time stream processing systems for Internet of Things applications
Vikash, Lalita Mishra, Shirshu Varma. Future Generation Computer Systems, 2020. Cites: paper

Sparse multi-output Gaussian processes for online medical time series prediction
Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Developing a deep learning system to drive the work of the critical care outreach team
Georgina Kennedy, John Rihari‐Thomas, Mark Dras et al. medRxiv, 2020. Cites: paper

Machine Learning for Clinical Outcome Prediction
Farah E. Shamout, Tingting Zhu, David Andrew Clifton. IEEE Reviews in Biomedical Engineering, 2020. Cites: paper

A narrative review of pharmacologic de-resuscitation in the critically ill
Brittany D. Bissell, John C. Donaldson, Peter E. Morris et al. Journal of Critical Care, 2020. Cites: paper

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel et al. arXiv (Cornell University), 2020. Cites: paper

Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making.
Ioana Bica, Daniel P. Jarrett, Alihan Hüyük et al. arXiv (Cornell University), 2020. Cites: paper

Benchmarking machine learning models on multi-centre eICU critical care dataset
Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani. PLoS ONE, 2020. Cites: paper

Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study
Yang� Yang, Shengru Liang, Jie Geng et al. Journal of Intensive Care, 2020. Cites: paper

Learning "What-if" Explanations for Sequential Decision-Making
Ioana Bica, Daniel P. Jarrett, Alihan Hüyük et al. arXiv (Cornell University), 2020. Cites: paper

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

A Label Attention Model for ICD Coding from Clinical Text
Thanh Vu, Dat Quoc Nguyen, Anthony N Nguyen. International Joint Conference on Artificial Intelligence, 2020. Cites: paper

A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals
Jhonatan Kobylarz, Henrique Dias Pereira dos Santos, Felipe Barletta et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2020. Cites: paper

Clinical Predictive Keyboard using Statistical and Neural Language Modeling
John Pavlopoulos, Panagiotis Papapetrou. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2020. Cites: paper

Data Mining Methods for Optimizing Feature Extraction and Model Selection
Masha Rouzbahman, Alexandra Jovicic, Lu Wang et al. 2020. Cites: paper

Cited by