Publications citing MIMIC-III Waveform Database v1.0

Clinical Notes Mining for Post Discharge Mortality Prediction
Vineet Kumar, Rohit Bajpai, Ram Babu Roy. IETE Technical Review, 2021. Cites: paper

A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study
Sujeong Hur, Ryoung‐Eun Ko, Junsang Yoo et al. JMIR Medical Informatics, 2021. Cites: paper

Improving domain adaptation in de-identification of electronic health records through self-training
Shun Liao, Jamie Kiros, Jiyang Chen et al. Journal of the American Medical Informatics Association, 2021. Cites: paper

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren et al. Pure Amsterdam UMC, 2021. Cites: paper

Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al. BMC Medical Research Methodology, 2021. Cites: paper

Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts
Jamil Zaghir, Jose Fernando Rodrigues Junior, Lorraine Goeuriot et al. Journal of Healthcare Informatics Research, 2021. Cites: paper

Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
Zhimeng Chen, Ming Chen, Xuri Sun et al. Frontiers in Medicine, 2021. Cites: paper

MT-clinical BERT: scaling clinical information extraction with multitask learning
Andriy Mulyar, Özlem Uzuner, Bridget McInnes. Journal of the American Medical Informatics Association, 2021. Cites: paper

Estimating the class prior for positive and unlabelled data via logistic regression
Małgorzata Łazȩcka, Jan Mielniczuk, Paweł Teisseyre. Advances in Data Analysis and Classification, 2021. Cites: paper

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
Chun‐Hao Chang, Rich Caruana, Anna Goldenberg. arXiv (Cornell University), 2021. Cites: paper

A deep database of medical abbreviations and acronyms for natural language processing
Lisa Grossman Liu, Raymond H. Grossman, Elliot G. Mitchell et al. Scientific Data, 2021. Cites: paper

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates
Stephanie Baker, Wei Xiang, Ian Atkinson. Computers in Biology and Medicine, 2021. Cites: paper

Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach
Jared Leitner, Po-Han Chiang, Sujit Dey. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Prognostic Value of the Red Cell Distribution Width in Patients with Sepsis-Induced Acute Respiratory Distress Syndrome: A Retrospective Cohort Study
Huabin Wang, Junbin Huang, Wenhua Liao et al. Disease Markers, 2021. Cites: paper

The need to separate the wheat from the chaff in medical informatics
Federico Cabitza, Andrea Campagner. International Journal of Medical Informatics, 2021. Cites: paper

Using Natural Language Processing with Deep Learning to Explore Clinical Notes
Anders Benjamin Grinde, Bendik Mathias Johansen. NORA - Norwegian Open Research Archives, 2021. Cites: paper

A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
Erick Axel Martinez-Ríos, Luis Montesinos, Mariel Alfaro-Ponce et al. Biomedical Signal Processing and Control, 2021. Cites: paper

Assessment of deep learning based blood pressure prediction from PPG and rPPG signals
Fabian Schrumpf, Patrick Frenzel, Christoph Aust et al. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021. Cites: paper

Association of Timing of Biliary Drainage with Clinical Outcomes in Severe Acute Cholangitis: A Retrospective Cohort Study
Yimiao Zhu, Jiangfeng Tu, Yu Zhao et al. International Journal of General Medicine, 2021. Cites: paper

CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside
Laura Moss, Martin Shaw, Ian Piper et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2021. Cites: paper

Clinical Report Classification: Continually Learning from User Feedback
Elias Moons, Marie‐Francine Moens. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2021. Cites: paper

Development and External Validation a Novel Inflammation-Based Score for Acute Kidney Injury and Prognosis in Intensive Care Unit Patients
Jingjing Wan, Gaorui Zou, Bo He et al. International Journal of General Medicine, 2021. Cites: paper

Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care
Malini Mahendra, Yanting Luo, Hunter Mills et al. Critical Care Explorations, 2021. Cites: paper

Impact of obesity on outcomes in patients with acute respiratory syndrome
Qiao-Yan Liu, Yue Chen, Ying He et al. Journal of International Medical Research, 2021. Cites: paper

Lactate is Associated with Increased 30-Day Mortality in Critically Ill Patients with Alcohol Use Disorder
Yu Chen, Yuanyuan Du, Cheng Sun et al. International Journal of General Medicine, 2021. Cites: paper

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures
Morris Riedel, Rocco Sedona, Chadi Barakat et al. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2021. Cites: paper

Predictive Analytics Based on Open Source Technologies for Acute Respiratory Distress Syndrome
Vaggelis Chaniotakis, Lefteris Koumakis, Haridimos Kondylakis et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2021. Cites: paper

Proton pump inhibitors versus histamine-2 receptor blockers for stress ulcer prophylaxis in patients with sepsis: a retrospective cohort study
Minqiang Huang, Ming Han, Wei Han et al. Journal of International Medical Research, 2021. Cites: paper

Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
Paul B. Rogers, Dong Wang, Zhiyuan Lu. Frontiers in Artificial Intelligence, 2021. Cites: paper

Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
Harsh Satija, Philip S. Thomas, Joëlle Pineau et al. arXiv (Cornell University), 2021. Cites: paper

Utilization of Echocardiography After Acute Kidney Injury Was Associated with Improved Outcomes in Patients in Intensive Care Unit
Yugang Hu, Jia Zhou, Quan Cao et al. International Journal of General Medicine, 2021. Cites: paper

Federated Multi-Site Normative Modeling using Hierarchical Bayesian Regression
Seyed Mostafa Kia, Hester Huijsdens, Saige E. Rutherford et al. bioRxiv (Cold Spring Harbor Laboratory), 2021. Cites: paper

Scalable and Interpretable Marked Point Processes.
Aristeidis Panos, Ioannis Kosmidis, Πέτρος Δελλαπόρτας. arXiv (Cornell University), 2021. Cites: paper

Temporal Minimal-World Semantics for Sparse ABoxes
Stefan Borgwardt, Walter Forkel, Alisa Kovtunova. arXiv (Cornell University), 2021. Cites: paper

The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
Ményssa Cherifa, Yannet Interian, Alice Blet et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review
Michael Moor, Bastian Rieck, Max Horn et al. Frontiers in Medicine, 2021. Cites: paper

Evaluation of an Intelligent Edge Computing System for the Hospital Intensive Care Unit
Serge Ismael Zida, Yue‐Der Lin, Cheng Lin Lee et al. IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), 2021. Cites: paper

Desiderata for a Synthetic Clinical Data Generator
Joshua Wiedekopf, Hannes Ulrich, Andrea Essenwanger et al. Studies in health technology and informatics, 2021. Cites: paper

Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care
Iacopo Vagliano, Oleksandra Lvova, Martijn C. Schut. Studies in health technology and informatics, 2021. Cites: paper

Latent transition analysis of cardiac arrest patients treated in the intensive care unit
Lifeng Xing, Min Yao, Hemant Goyal et al. PLoS ONE, 2021. Cites: paper

Process Mining of Disease Trajectories: A Literature Review
Guntur Prabawa Kusuma, Angelina Prima Kurniati, Eric Rojas et al. Studies in health technology and informatics, 2021. Cites: paper

The association between four scoring systems and 30-day mortality among intensive care patients with sepsis: a cohort study
Tianyang Hu, Huajie Lv, Youfan Jiang. Scientific Reports, 2021. Cites: paper

Association between the platelet‐lymphocyte ratio and short‐term mortality in patients with non‐ST ‐segment elevation myocardial infarction
Zhongyuan Meng, Yang Jiaqiang, Jianfu Wu et al. Clinical Cardiology, 2021. Cites: paper

dxpr : an R package for generating analysis-ready data from electronic health records—diagnoses and procedures
Yi‐Ju Tseng, Hsiang-Ju Chiu, Chun Ju Chen. PeerJ Computer Science, 2021. Cites: paper

Modern Clinical Text Mining: A Guide and Review
Bethany Percha. Annual Review of Biomedical Data Science, 2021. Cites: paper

Individualized Mechanical power-based ventilation strategy for acute respiratory failure formalized by finite mixture modeling and dynamic treatment regimen
Yucai Hong, Lin Chen, Qing Pan et al. EClinicalMedicine, 2021. Cites: paper

A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms
Stephanie Baker, Wei Xiang, Ian Atkinson. Computer Methods and Programs in Biomedicine, 2021. Cites: dataset, paper

BELT: Blockwise Missing Embedding Learning Transfomer.
Doudou Zhou, Tianxi Cai, Junwei Lu. arXiv (Cornell University), 2021. Cites: paper

BELT: Block-wise Missing Embedding Learning Transformer
Doudou Zhou, Tianxi Cai, Junwei Lu. arXiv (Cornell University), 2021. Cites: paper

Development of models for predicting atherosclerosis risk using machine learning methods
М.В. Демченко, Ирина Леонидовна Каширина, М.А. Фирюлина. Modelirovanie, optimizaciâ i informacionnye tehnologii., 2021. Cites: paper

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