Publications citing MIMIC-III Waveform Database v1.0

How Interpretable and Trustworthy are GAMs?
Chun‐Hao Chang, Sarah Tan, Benjamin J. Lengerich et al. arXiv (Cornell University), 2020. Cites: paper

Temporal tree representation for similarity computation between medical patients
Suresh Pokharel, Guido Zuccon, Xue Li et al. Artificial Intelligence in Medicine, 2020. Cites: paper

The weekend effect for stroke patients admitted to intensive care: A retrospective cohort analysis
William Greig Mitchell, R. C. Pande, Tom Robinson et al. PLoS ONE, 2020. Cites: paper

Assessing the Impact of Imputation on the Interpretations of Prediction Models: A Case Study on Mortality Prediction for Patients with Acute Myocardial Infarction
Seyedeh Neelufar Payrovnaziri, Aiwen Xing, Shaeke Salman et al. medRxiv, 2020. Cites: paper

A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study
Wongeun Song, Se Young Jung, Hyunyoung Baek et al. JMIR Medical Informatics, 2020. Cites: paper

The characteristics and outcomes of patients with idiopathic pulmonary fibrosis admitted to the ICU with acute respiratory failure
Rory A. Smith, Matheni Sathananthan, Prabhleen Kaur et al. Heart & Lung, 2020. Cites: paper

Knowledge-Based Learning through Feature Generation
Michal Badian, Shaul Markovitch. arXiv (Cornell University), 2020. Cites: paper

Artificial intelligence and computer simulation models in critical illness
Amos Lal, Yuliya Pinevich, Ognjen Gajic et al. World Journal of Critical Care Medicine, 2020. Cites: paper

Generation of Differentially Private Heterogeneous Electronic Health Records
Kieran Chin-Cheong, Thomas M. Sutter, Julia Elisabeth Vogt. arXiv (Cornell University), 2020. Cites: paper

Term Extraction from Medical Documents Using Word Embeddings
Matthias Bay, Daniel Bruneß, Miriam Herold et al. IEEE Congress on Information Science and Technology (CiSt), 2020. Cites: paper

A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data
Xu Xiao, Xiaoshuang Liu, Yanni Kang et al. Journal of Healthcare Informatics Research, 2020. Cites: paper

Association of delayed time in the emergency department with the clinical outcomes for critically ill patients
Shan Lin, S Ge, Wen He et al. QJM, 2020. Cites: paper

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Helen H. Zhou, Cheng Cheng, Zachary C. Lipton et al. arXiv (Cornell University), 2020. Cites: paper

A Machine Learning Approach for the Classification of Disease Risks in Time Series
Lejla Begic Fazlic, Ahmed Hallawa, Matthias Dziubany et al. Mediterranean Conference on Embedded Computing (MECO), 2020. Cites: paper

Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers are Not Associated with Severe COVID-19 Infection in a Multi-Site UK Acute Hospital Trust
Daniel M. Bean, Željko Kraljević, Thomas Searle et al. European Journal of Heart Failure, 2020. Cites: paper

Atrial fibrillation predictor with reject option using belief functions theory
Mohamed Mroueh, Farah Mourad-Chehade, Fahed Abdallah. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020. Cites: paper

Neural ODEs for Informative Missingess in Multivariate Time Series
Mansura Habiba, Barak A. Pearlmutter. Irish Signals and Systems Conference, 2020. Cites: paper

Photoplethysmography based stratification of blood pressure using multi information fusion artificial neural network
Dingliang Wang, Xuezhi Yang, Xuenan Liu et al. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. Cites: paper

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence
David Westfall Bates, Andrew David Auerbach, Peter Schulam et al. Annals of Internal Medicine, 2020. Cites: paper

Temporal matrix completion with locally linear latent factors for medical applications
Andy Jinhua Ma, Jacky C. P. Chan, Frodo K.S. Chan et al. Artificial Intelligence in Medicine, 2020. Cites: paper

A Survey on Transfer Learning in Natural Language Processing
Zaid Alyafeai, Maged S. Al-shaibani, Irfan Ahmad. arXiv (Cornell University), 2020. Cites: paper

9th International Conference on Information Technology Convergence and Services (ITCSE 2020)
2020. Cites: paper

Conformance Checking Methodology Across Discharge Summaries and Standard Treatment Guidelines
Veera Raghavendra Chikka, Kamalakar Karlapalem. ACM Transactions on Computing for Healthcare, 2020. Cites: paper

Enhancing sepsis management through machine learning techniques: A review
N. Ocampo-Quintero, Pablo Vidal, Lorena del Río Carbajo et al. Medicina Intensiva, 2020. Cites: paper

Free-text and Structured Clinical Time Series for Patient Outcome Predictions
Emilia Apostolova, Joe Morales, Ioannis Koutroulis et al. 2020. Cites: paper

Management of ARDS: From ventilation strategies to intelligent technical support – Connecting the dots
Julian Kunze, Sebastian Johannes Fritsch, Arne Peine et al. Trends in Anaesthesia and Critical Care, 2020. Cites: paper

Causal Relational Learning
Babak Salimi, Harsh Parikh, Moe Kayali et al. ACM SIGMOD International Conference on Management of Data (SIGMOD), 2020. Cites: paper

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care
Rasheed El-Bouri, David W. Eyre, Peter Watkinson et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Natural Language to SQL Generation for Observational Study Designs: Current Challenges and Possible Directions (Preprint)
Han Wang, Wesley Lok Kin Yeung, Mengling Feng. 2020. Cites: paper

Prognostic value of neutrophil–lymphocyte ratio in critically ill patients with cancer: a propensity score matching study
Zhangsendi Chen, Xueshu Yu, Lingjie Mao et al. Clinical & Translational Oncology, 2020. Cites: paper

Time to Lactate Measurement Affects Efficacy of Initial Lactate on Mortality in critically ill patients with sepsis.
Xueying Luo, Xiaobo Zheng, Xi Rao et al. 2020. Cites: paper

Physiology-Informed Real-Time Mean Arterial Blood Pressure Learning and Prediction for Septic Patients Receiving Norepinephrine
Yi Tang, Samuel Morris Brown, Jeff Sorensen et al. IEEE Transactions on Biomedical Engineering, 2020. Cites: paper

Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data
Yu Wang, Junpeng Bao, Jianqiang Du et al. arXiv (Cornell University), 2020. Cites: paper

Genetic underpinnings of cerebral edema in acute brain injury: an opportunity for pathway discovery
Elayna P. Kirsch, Natalia Szejko, Guido J. Falcone. Neuroscience Letters, 2020. Cites: paper

Monitoring Big Data During Mechanical Ventilation in the ICU
Craig D Smallwood. Respiratory Care, 2020. Cites: paper

Pulmonary hypertension with adult respiratory distress syndrome: prevalence, clinical impact, and association with central venous pressure
Dongkai Li, Jia‐Yu Mao, Yun Long et al. Pulmonary Circulation, 2020. Cites: paper

Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare
Fei Teng, Zheng Ma, Jie Chen et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

MASK: A flexible framework to facilitate de-identification of clinical texts
Nikola Milošević, Gangamma Kalappa, Hesam Dadafarin et al. arXiv (Cornell University), 2020. Cites: paper

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie et al. arXiv (Cornell University), 2020. Cites: paper

Inferring multimodal latent topics from electronic health records
Yue Li, Pratheeksha Nair, Xing Han Lù et al. Nature Communications, 2020. Cites: paper

Heterogeneous data release for cluster analysis with differential privacy
Rong Wang, Benjamin C. M. Fung, Yan Zhu. Knowledge-Based Systems, 2020. Cites: paper

Neural ODEs for Informative Missingness in Multivariate Time Series
Mansura Habiba, Barak A. Pearlmutter. arXiv (Cornell University), 2020. Cites: paper

Joint imbalanced classification and feature selection for hospital readmissions
Guodong Du, Jia Zhang, Zhiming Luo et al. Knowledge-Based Systems, 2020. Cites: paper

Prognostic Value of Neutrophil-Lymphocyte Ratio in Cardiogenic Shock: A Cohort Study
Yangpei Peng, Jie Wang, Huaqiang Xiang et al. Medical Science Monitor, 2020. Cites: paper

Red blood cell distribution width is associated with mortality risk in patients with acute respiratory distress syndrome based on the Berlin definition: A propensity score matched cohort study
Xueshu Yu, Zhiqiang Chen, Yufeng Hu et al. Heart & Lung, 2020. Cites: paper

Active deep learning to detect demographic traits in free-form clinical notes
Amir Feder, Danny Vainstein, Roni Rosenfeld et al. Journal of Biomedical Informatics, 2020. Cites: paper

Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data
Syed Khairul Bashar, Md-Billal Hossain, Eric Ding et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research
David A. Hanauer, Jill S. Barnholtz‐Sloan, Mark F. Beno et al. JCO Clinical Cancer Informatics, 2020. Cites: paper

The incidence and outcome of severe hyperlactatemia in critically ill patients
Amin Gharipour, Rouzbeh Razavi, Mojgan Gharipour et al. Internal and Emergency Medicine, 2020. Cites: paper

Distilling neural networks into skipgram-level decision lists
Madhumita Sushil, Simon Šuster, Walter M. P. Daelemans. arXiv (Cornell University), 2020. Cites: paper

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