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

Feature Importance Explanations for Temporal Black-Box Models
Akshay Sood, Mark W. Craven. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper

Knowledge Distillation via Constrained Variational Inference
Ardavan Saeedi, Yuria Utsumi, Li Sun et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper

Inductive Representation Learning of Multiple ICD Codes for Healthcare
Sheng Jie Lui, Xiang Cheng, Shonali Priyadarsini Krishnaswamy. International Conference on Control and Automation, 2022. Cites: paper

Machine Learning-Based Systems for the Anticipation of Adverse Events After Pediatric Cardiac Surgery
Patricia García‐Canadilla, Alba Isabel-Roquero, Esther Aurensanz Clemente et al. Frontiers in Pediatrics, 2022. Cites: paper

Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems
Vasiliki Danilatou, Stylianos Nikolakakis, Despoina Antonakaki et al. International Journal of Molecular Sciences, 2022. Cites: paper

Development and validation of a deep learning model to predict the survival of patients in ICU
Hai Tang, Zhuochen Jin, Jiajun Deng et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Early Prediction of Sepsis for ICU Patients using Gradient Boosted Tree
Teh Xuan Ying, Asma Abu-Samah. IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2022. Cites: paper

Early prediction of ventilator-associated pneumonia in critical care patients: a machine learning model
Yingjian Liang, Chengrui Zhu, Cong Tian et al. BMC Pulmonary Medicine, 2022. Cites: paper

Effects of transthoracic echocardiography on the prognosis of patients with acute respiratory distress syndrome: a propensity score matched analysis of the MIMIC-III database
Daoran Dong, Yan Wang, Chan Wang et al. BMC Pulmonary Medicine, 2022. Cites: paper

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series
Sindhu Tipirneni, Chandan K. A. Reddy. ACM Transactions on Knowledge Discovery from Data, 2022. Cites: paper

PyMVPD: A Toolbox for Multivariate Pattern Dependence
Mengting Fang, Craig Poskanzer, Stefano Anzellotti. Frontiers in Neuroinformatics, 2022. Cites: paper

Temporal model to explore administrative healthcare databases
Johanne Bakalara. 2022. Cites: paper

A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19
Itai Bendavid, Liran Statlender, Leonid Shvartser et al. Scientific Reports, 2022. Cites: paper

Attention-LRCN: Long-term Recurrent Convolutional Network for Stress Detection from Photoplethysmography
Jiho Choi, Jun Seong Lee, Moonwook Ryu et al. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022. Cites: paper

Healthsheet: Development of a Transparency Artifact for Health Datasets
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy et al. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022. Cites: paper

U-Shaped Association Between Blood Pressure and Mortality Risk in ICU Patients With Atrial Fibrillation: The MIMIC-III Database
Ying Shao, Jinzhu Hu. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Using ECG signals for hypotensive episode prediction in trauma patients
Neta Rosenfeld, Mark Last. Computer Methods and Programs in Biomedicine, 2022. Cites: paper

Automatic data extraction to support meta-analysis statistical analysis: a case study on breast cancer
Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

BP-Net : Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture
Soheil Zabihi, Elahe Rahimian, Fatemeh Marefat et al. Biomedical Signal Processing and Control, 2022. Cites: paper

Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael T. Roberts, Jan Stanczuk et al. arXiv (Cornell University), 2022. Cites: paper

Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
Hanyin Wang, Yikuan Li, Andrew M. Naidech et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

Evaluating a Recurrent Neural Network Model for Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data
Sobhan Moazemi, Sebastian Kalkhoff, Steven Kessler et al. International Conference on Time Series and Forecasting (ITISE), 2022. Cites: paper

Histamine H2 receptor antagonist exposure was related to decreased all-cause mortality in critical ill patients with heart failure: a cohort study
Yan-Hua Huang, Wen‐Ke Cai, Sun-Jun Yin et al. European Journal of Preventive Cardiology, 2022. Cites: paper

Associations Between Family Member Involvement and Outcomes of Patients Admitted to the Intensive Care Unit: Retrospective Cohort Study
Tamryn Fowler Gray, Anne Kwok, M. Khuyen et al. JMIR Medical Informatics, 2022. Cites: paper

Improving the robustness and accuracy of biomedical language models through adversarial training
Milad Moradi, Matthias Samwald A. Journal of Biomedical Informatics, 2022. Cites: paper

RadBERT: Adapting Transformer-based Language Models to Radiology
An Yan, Julian McAuley, Xing Lü et al. Radiology Artificial Intelligence, 2022. Cites: paper

Reinforcement Learning based Recommender Systems: A Survey
M. Mehdi Afsar, Trafford Crump, Behrouz H. Far. ACM Computing Surveys, 2022. Cites: paper

A Study into Patient Similarity through Representation Learning from Medical Records
Hoda Memarzadeh, Nasser Ghadiri, Matthias Samwald A et al. Research Square, 2022. Cites: paper

Causal inference for observational longitudinal studies using deep survival models
Jie Zhu, Blanca Gallego. Journal of Biomedical Informatics, 2022. Cites: paper

The Impact of Zinc Supplementation on Critically Ill Patients With Acute Kidney Injury: A Propensity Score Matching Analysis
Wenkai Xia, Chenyu Li, Danyang Zhao et al. Frontiers in Nutrition, 2022. Cites: paper

Predicting the Mortality of ICU Patients by Topic Model with Machine-Learning Techniques
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien et al. Healthcare, 2022. Cites: paper

Early Prediction of Ventilator-Associated Pneumonia in ICU Patients Using An Interpretable Machine Learning Algorithm
Maxime Faucher, Satish Casie Chetty, Sepideh Shokouhi et al. Preprints.org, 2022. Cites: paper

The promise of artificial intelligence for kidney pathophysiology
Joy J. Jiang, Lili Chan, Girish N. Nadkarni. Current Opinion in Nephrology & Hypertension, 2022. Cites: paper

A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining
Qifan Chen, Yang Lu, Charmaine S. Tam et al. Future Internet, 2022. Cites: paper

Blood urea nitrogen to creatinine ratio is associated with in-hospital mortality among critically ill patients with cardiogenic shock
Di Sun, Changmin Wei, Zhen Li. BMC Cardiovascular Disorders, 2022. Cites: paper

VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients
Hyung‐Chul Lee, Yoonsang Park, Soo Bin Yoon et al. Scientific Data, 2022. Cites: paper

Mortalidade em Unidades de Terapia Intensiva: uma Abordagem para Predição Explorando Aprendizado de Máquina
Alexandre Renato Rodrigues de Souza, Fabrício Neitzke Ferreira, Rodrigo Blanke Lambrecht et al. 2022. Cites: paper

Tell me something interesting: Clinical utility of machine learning prediction models in the ICU
Bar Eini-Porat, Ofra Amir, Danny Eytan et al. Journal of Biomedical Informatics, 2022. Cites: paper

What Is the Optimal Speed of correction of the Hyperosmolar Hyperglycemic State in Diabetic Ketoacidosis? An Observational Cohort Study of U.S. Intensive Care Patients
Sebastiaan Paul Blank, Ruth Miriam Blank, Lewis T. Campbell. Endocrine Practice, 2022. Cites: paper

A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools
Lars Nonnemann, Marius Hogräfer, Martin Röhlig et al. Computers & Graphics, 2022. Cites: paper

Annotating Free-Texts in EHRs Towards a Reusable and Machine-Actionable Health Data Resource
Jiayang Wang, Lin Yang, Xiaoshuo Huang et al. Studies in health technology and informatics, 2022. Cites: paper

A Survey on Deep Learning Techniques for Joint Named Entities and Relation Extraction
Mina Esmail Zadeh Nojoo Kambar, Armin Esmaeilzadeh, Maryam Heidari. IEEE World AI IoT Congress (AIIoT), 2022. Cites: paper

Augmentation of Electronic Medical Record Data for Deep Learning
Georgina Kennedy, Mark Dras, Blanca Gallego. Studies in health technology and informatics, 2022. Cites: paper

Context-sensitive, personalized search at the point of care
Sameh Frihat. ACM/IEEE Joint Conference on Digital Libraries, 2022. Cites: paper

Does Enrichment of Clinical Texts by Ontology Concepts Increases Classification Accuracy?
Kerstin Denecke. Studies in health technology and informatics, 2022. Cites: paper

Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings
Amee Trivedi, William Ogallo, Girmaw Abebe Tadesse. Studies in health technology and informatics, 2022. Cites: paper

The association of blood urea nitrogen to creatinine ratio and the prognosis of critically ill patients with cerebral infarction: a cohort study
Ting Chen, Aiping Li, Qi Gong et al. Research Square, 2022. Cites: paper

Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks
Junghwan Lee, Cong Liu, Casey Ta et al. Studies in health technology and informatics, 2022. Cites: paper

Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach
Caogen Hong, Zhoujian Sun, Yuzhe Hao et al. JMIR Medical Informatics, 2022. Cites: paper

Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study
Xiaoli Liu, Clark DuMontier, Pan Hu et al. The Journals of Gerontology Series A, 2022. Cites: paper

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