Publications citing MIMIC-III Waveform Database v1.0

Cardiac arrest: prediction models in the early phase of hospitalization
Florence Dumas, Wulfran Bougouin, Alain Cariou. Current Opinion in Critical Care, 2019. Cites: paper

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Christopher Barton, Uli K. Chettipally, Yifan Zhou et al. Computers in Biology and Medicine, 2019. Cites: paper

A study of deep learning approaches for medication and adverse drug event extraction from clinical text
Qiang Wei, Zongcheng Ji, Zhiheng Li et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Causality Assessment of Adverse Drug Reaction: Controlling Confounding Induced by Polypharmacy
Tran-Thai Dang, Thanh-Hang Nguyen, Tu-Bao Ho. Current Pharmaceutical Design, 2019. Cites: paper

Data-driven discovery of a novel sepsis pre-shock state predicts impending septic shock in the ICU
Ran Liu, Joseph L. Greenstein, Stephen J. Granite et al. Scientific Reports, 2019. Cites: paper

Machine learning for early prediction of circulatory failure in the intensive care unit
Stephanie L. Hyland, Martin Faltys, Matthias Hüser et al. arXiv (Cornell University), 2019. Cites: paper

Neural transfer learning for assigning diagnosis codes to EMRs
Anthony Rios, Ramakanth Kavuluru. Artificial Intelligence in Medicine, 2019. Cites: paper

Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy
Rohollah Soltani, Alexandre Tomberg. arXiv (Cornell University), 2019. Cites: paper

Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care
Zhongheng Zhang, Kwok Ming Ho, Yucai Hong. Critical Care, 2019. Cites: paper

Mortality prediction using medical notes
Mahnaz Koupaee. ACM Symposium on Applied Computing, 2019. Cites: paper

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems
Ryan D. Kindle, Omar Badawi, Leo Anthony Celi et al. Critical Care Clinics, 2019. Cites: paper

Publicly Available Clinical BERT Embeddings
Emily Alsentzer, Murphy, John R., Willie Boag et al. arXiv (Cornell University), 2019. Cites: paper

Rate of Correction of Hypernatremia and Health Outcomes in Critically Ill Patients
Kinsuk Chauhan, Pattharawin Pattharanitima, Niralee Patel et al. Clinical Journal of the American Society of Nephrology, 2019. Cites: paper

Interaction between serum chloride increase and baseline chloride level
Yanfei Shen, Jing Yan, Guolong Cai et al. Intensive Care Medicine, 2019. Cites: paper

Application of artificial intelligence in pediatrics: past, present and future
Liqi Shu, Yikan Sun, Linhua Tan et al. World Journal of Pediatrics, 2019. Cites: paper

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers
Alexandros Karargyris, Ken C. L. Wong, Joy Tzung-Yu Wu et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2019. Cites: paper

Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Liang Yao, Chengsheng Mao, Yuan Luo. BMC Medical Informatics and Decision Making, 2019. Cites: paper

CurrentClean: Spatio-Temporal Cleaning of Stale Data
Mostafa Milani, Zheng Zheng, Fei Chiang. IEEE International Conference on Data Engineering (ICDE), 2019. Cites: paper

Data Mined Models for Predicting In-hospital Mortality of Emergency Admissions at Time of Hospital Admission Robert Steele
Robert JC Steele, Trevor Hillsgrove. IEEE SoutheastCon, 2019. Cites: paper

ECG Abnormality Detection from PPG Signal
Malak Fora, Sajidah Al-Hammouri, Awad Al‐Zaben. IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019. Cites: paper

Evidence-based prediction of Atrial Fibrillation using physiological signals
Mohamed Mroueh, Farah Mourad-Chehade, Fahed Abdallah. International Conference on Bio-engineering for Smart Technologies (BioSMART), 2019. Cites: paper

Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
Chao Yu, Jiming Liu, Hóngyi Zhào. BMC Medical Informatics and Decision Making, 2019. Cites: paper

Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction
Ning Liu, Pan Lu, Wei Zhang et al. IEEE International Conference on Data Engineering (ICDE), 2019. Cites: paper

Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison
Yaoyun Zhang, Firat Tiryaki, Min Jiang et al. BMC Medical Informatics and Decision Making, 2019. Cites: paper

Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey et al. arXiv (Cornell University), 2019. Cites: paper

Medication Recommendation and Lab Test Imputation via Graph Convolutional Networks
Chengsheng Mao, Liang Yao, Yuan Luo. arXiv (Cornell University), 2019. Cites: paper

Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning
Aryan Arbabi, David R. Adams, Sanja Fidler et al. JMIR Medical Informatics, 2019. Cites: paper

Early Hospital Mortality Prediction Using Vital Signals
Reza Sadeghi, Tanvi Banerjee, William Lee Romine. Journal of Bioresource Management, 2019. Cites: paper

Linking Big Data and Prediction Strategies: Tools, Pitfalls, and Lessons Learned
Shiming Yang, Lynn G. Stansbury, Peter Rock et al. Critical Care Medicine, 2019. Cites: paper

Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive Performance
Tony Wang, Tim Tschampel, Apostolova, Emilia et al. arXiv (Cornell University), 2019. Cites: paper

SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo, Arman Cohan. arXiv (Cornell University), 2019. Cites: paper

A novel approach for exposing and sharing clinical data: the Translator Integrated Clinical and Environmental Exposures Service
Karamarie Fecho, Emily Pfaff, Hao Xu et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Performance comparison of prediction models for neonatal sepsis using logistic regression, multiple discriminant analysis and artificial neural network
Jyoti Thakur, Sharvan Kumar Pahuja, Roop Pahuja. Biomedical Physics & Engineering Express, 2019. Cites: paper

Relation between Red Cell Distribution Width and Mortality in Critically Ill Patients with Acute Respiratory Distress Syndrome
Benji Wang, Yuqiang Gong, Binyu Ying et al. BioMed Research International, 2019. Cites: paper

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
Luchen Liu, Haoran Li, Zhiting Hu et al. PubMed Central, 2019. Cites: paper

The complexity of intracranial pressure as an indicator of cerebral autoregulation
Nicolás Marcelo Ciarrocchi, Nicolás H. Quiroz, Francisco Traversaro et al. Communications in Nonlinear Science and Numerical Simulation, 2019. Cites: paper

The association between autoimmune disease and 30-day mortality among sepsis ICU patients: a cohort study
Mallory Sheth, Corey M. Benedum, Leo Anthony Celi et al. Critical Care, 2019. Cites: paper

Association of serum total and ionized calcium with all-cause mortality incritically ill patients with acute kidney injury
Benji Wang, Diwen Li, Yuqiang Gong et al. Clinica Chimica Acta, 2019. Cites: paper

Context-based bidirectional-LSTM model for sequence labeling in clinical reports
Amir M. Tahmasebi, Henghui Zhu, Ioannis Ch. Paschalidis. SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications, 2019. Cites: paper

Identifying disease-free chest x-ray images with deep transfer learning
Mehdi Moradi, Ken C. L. Wong, Tanveer Syeda-Mahmood et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2019. Cites: paper

How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database
Yongbo Liang, Derek Abbott, Newton Howard et al. Journal of Clinical Medicine, 2019. Cites: paper

Characteristics and Outcomes of Patients With and Without Type 2 Diabetes Mellitus and Pulmonary Sepsis
Matheni Sathananthan, Airani Sathananthan, Niranjan Jeganathan. Journal of Intensive Care Medicine, 2019. Cites: paper

Similarity-based Random Survival Forest
Yingying Xu, Joon Lee, Joel A. Dubin. arXiv (Cornell University), 2019. Cites: paper

Assertion Detection in Clinical Natural Language Processing: A Knowledge-Poor Machine Learning Approach
Long Chen. International Conference on Information and Computer Technologies (ICICT), 2019. Cites: paper

RETRACTED: An approach for predicting health status in IoT health care
Azadeh Zamanifar, Eslam Nazemi. Journal of Network and Computer Applications, 2019. Cites: paper

The early prediction of neonates mortality in Intensive Care Unit
Zaineb Kefi, Kamel Aloui, Mohamed Saber Naceur. IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2019. Cites: paper

Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK
Chris McWilliams, Daniel John Lawson, Raúl Santos‐Rodríguez et al. BMJ Open, 2019. Cites: paper

Detection of Motion Artifact in PPG Signal using Convolutional Neural Network
Myungha Kim, Min‐Chul Park. Journal of Digital Contents Society, 2019. Cites: paper

HYBRID MORTALITY PREDICTION USING MULTIPLE SOURCE SYSTEMS
Isaac Mativo, Yelena Yesha, Michael Grasso et al. International Journal on Cybernetics & Informatics, 2019. Cites: paper

Distributed learning from multiple EHR databases: Contextual embedding models for medical events
Ziyi Li, Kirk E Roberts, Xiaoqian Jiang et al. Journal of Biomedical Informatics, 2019. Cites: paper

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