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

Utilizing BERT for biomedical and clinical text mining
Runjie Zhu, Xinhui Tu, Jimmy Xiangji Huang. Elsevier eBooks, 2020. Cites: paper

Agile clinical research: A data science approach to scrumban in clinical medicine
Howard Lei, Ryan O’Connell, Louis Ehwerhemuepha et al. Intelligence-Based Medicine, 2020. Cites: paper

A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study
Angier O. Allen, Samson J. Mataraso, Anna C. Siefkas et al. JMIR Public Health and Surveillance, 2020. Cites: paper

Prognostic Role of Ammonia in Critical Care Patients Without Known Hepatic Disease
Lina Zhao, Joseph Harold Walline, Yanxia Gao et al. Frontiers in Medicine, 2020. Cites: paper

ASCII: ASsisted Classification with Ignorance Interchange
Jiaying Zhou, Xun Xian, Na Li et al. arXiv (Cornell University), 2020. Cites: paper

Unfolding Healthcare: Novel Method for Predicting Mortality of Patients Within Early Hours of ICU
Rajni Jindal, Sarthak Aggarwal, Saanidhi. Smart innovation, systems and technologies, 2020. Cites: paper

CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri, Olivier Ferret, Lavergne, Thomas et al. arXiv (Cornell University), 2020. Cites: paper

Comparative assessment of text-image fusion models for medical diagnostics
Natalia Gusarova, Artem Lobantsev, Aleksandra S. Vatian et al. Информационно-управляющие системы, 2020. Cites: paper

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
Thomas Gumbsch, Christian Bock, Michael Moor et al. Bioinformatics, 2020. Cites: paper

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura, Yuhao Zhang, Emily B. Tsai et al. arXiv (Cornell University), 2020. Cites: paper

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Информационно-управляющие системы, 2020. Cites: paper

Knowledge Graph-based Question Answering with Electronic Health Records
Junwoo Park, Youngwoo Cho, Lee, Haneol et al. arXiv (Cornell University), 2020. Cites: paper

Context-Aware Time Series Imputation for Multi-Analyte Clinical Data
Kejing Yin, Liaoliao Feng, William K. Cheung. Journal of Healthcare Informatics Research, 2020. Cites: paper

Red Blood Cell Distribution Width as a Predictor of 28‐Day Mortality in Critically Ill Patients With Alcohol Use Disorder
Lin Liao, Liao Pinhu. Alcoholism Clinical and Experimental Research, 2020. Cites: paper

A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems
Bayu Adhi Tama, Sunghoon Lim. Mathematics, 2020. Cites: paper

Automatic classification of scanned electronic health record documents
Heath Goodrum, Kirk E Roberts, Elmer Victor Bernstam. International Journal of Medical Informatics, 2020. Cites: paper

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs
Zhoujian Sun, Dong, Wei, Jinlong Shi et al. arXiv (Cornell University), 2020. Cites: paper

Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series
Qingxiong Tan, Mang Ye, Andy Jinhua Ma et al. IEEE Transactions on Neural Networks and Learning Systems, 2020. Cites: paper

A Nuisance-Free Inference Procedure Accounting for the Unknown Missingness with Application to Electronic Health Records
Jiwei Zhao, Chi Chen. Entropy, 2020. Cites: paper

Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports
Jackson Steinkamp, Taylor Pomeranz, Jason Adleberg et al. Radiology Artificial Intelligence, 2020. Cites: paper

Preoperative Lymphocyte-To-Monocyte Ratio as a Prognostic Predictor of Long-term Mortality Among Cardiac Surgery Patients: A Propensity Score Matching Analysis Based on a 4-year Follow-up Cohort
Zhuoming Zhou, Mengya Liang, Suiqing Huang et al. Research Square, 2020. Cites: paper

Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg et al. arXiv (Cornell University), 2020. Cites: paper

Data filtering for corrupted MIMIC III dataset with deep learning
Yongsik Jin, Crino Shin, Wookyong Kwon et al. International Conference on Control, Automation and Systems (ICCAS), 2020. Cites: paper

Effects of Fluid Resuscitation on the Occurrence of Organ Failure and Mortality in Patients With Acute Pancreatitis
Li‐Li Liu, Chao Wang, Tiancheng Luo et al. Pancreas, 2020. Cites: paper

Fostering reproducibility and generalizability in machine learning for clinical prediction modeling in spine surgery
Tej Deepak Azad, Jeff Ehresman, Ali Karim Ahmed et al. The Spine Journal, 2020. Cites: paper

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
Diwakar Mahajan, Ananya Poddar, Jennifer J. Liang et al. JMIR Medical Informatics, 2020. Cites: paper

Survival prediction of patients with sepsis from age, sex, and septic episode number alone
Davide Chicco, Giuseppe Jurman. Scientific Reports, 2020. Cites: paper

Visual Causality Analysis of Event Sequence Data
Zhuochen Jin, Shunan Guo, Nan Chen et al. IEEE Transactions on Visualization and Computer Graphics, 2020. Cites: paper

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
Sawsan AbdulRahman, Hanine Tout, Hakima Ould‐Slimane et al. IEEE Internet of Things Journal, 2020. Cites: paper

Neutrophil-to-lymphocyte Ratio as a Predictor of Mortality in ICU Patients: An Analysis of MIMIC-III Database
Xie Wu, Zhanhao Su, Qipeng Luo et al. 2020. Cites: paper

Characterizing the Patients, Hospitals, and Data Quality of the eICU Collaborative Research Database*
Heather O’Halloran, Kenneth Kwong, Richard A. Veldhoen et al. Critical Care Medicine, 2020. Cites: paper

Effectiveness of neural language models for word prediction of textual mammography reports
Mihai David Marin, Elena Mocanu, Christin Seifert. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2020. Cites: paper

Adversarially regularized medication recommendation model with multi-hop memory network
Yanda Wang, Weitong Chen, Dechang Pi et al. Knowledge and Information Systems, 2020. Cites: paper

Classification of Biomedical Texts for Cardiovascular Diseases with Deep Neural Network Using a Weighted Feature Representation Method
Nizar A. Ahmed, Fatih Dilmaç, Adil Alpkoçak. Healthcare, 2020. Cites: paper

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping
Surabhi Datta, Shekhar D. Khanpara, Roy Riascos et al. PubMed Central, 2020. Cites: paper

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents
Joy Tzung-Yu Wu, Ken C. L. Wong, Yaniv Gur et al. JAMA Network Open, 2020. Cites: paper

Positive association between systemic immune-inflammatory index and mortality of cardiogenic shock
Yangpei Peng, Wenwen Huang, Zhen Shi et al. Clinica Chimica Acta, 2020. Cites: paper

Rapid declines in systolic blood pressure are associated with an increase in pulse transit time
Sebastian Grøvdal Schaanning, Nils Kristian Skjærvold. PLoS ONE, 2020. Cites: paper

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
Christina X. Ji, Michael Oberst, Sanjat Kanjilal et al. PubMed Central, 2020. Cites: paper

Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury
Kumardeep Chaudhary, Akhil Vaid, Áine Duffy et al. Clinical Journal of the American Society of Nephrology, 2020. Cites: paper

30-day Hospital Readmission Prediction using MIMIC Data
Rasha Assaf, Rashid Jayousi. IEEE International Conference on Application of Information and Communication Technologies (AICT), 2020. Cites: paper

Premature Atrial and Ventricular Contraction Detection Using Photoplethysmographic Data from a Smartwatch
Dong Han, Syed Khairul Bashar, Fahimeh Mohagheghian et al. Sensors, 2020. Cites: paper

Sampling methods and feature selection for mortality prediction with neural networks
Christian Steinmeyer, Lena Wiese. Journal of Biomedical Informatics, 2020. Cites: paper

Towards Generalized and Distributed Privacy-Preserving Representation Learning.
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour et al. arXiv (Cornell University), 2020. Cites: paper

Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study
Logan Ryan, Carson Lam, Samson J. Mataraso et al. Annals of Medicine and Surgery, 2020. Cites: paper

DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
Jayaraman J. Thiagarajan, Deepta Rajan, Sameeksha Katoch et al. Scientific Reports, 2020. Cites: paper

Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
Bellamy, David, Leo Anthony Celi, Andrew L. Beam. arXiv (Cornell University), 2020. Cites: paper

Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
Guilan Kong, Ke Lin, Yonghua Hu. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Application of Text Mining to Nursing Texts
Sookyung Hyun, Cheryl Cooper. CIN Computers Informatics Nursing, 2020. Cites: paper

Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle
Jacobien H. F. Oosterhoff, Job Nicolaas Doornberg. EFORT Open Reviews, 2020. Cites: paper

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