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

Limitations of Transformers on Clinical Text Classification
Shang Bing Gao, Mohammed Alawad, M. Todd Young et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

The prediction of mortality influential variables in an intensive care unit: a case study
Naghmeh Khajehali, Zohreh Khajehali, Mohammad Jafar Tarokh. Personal and Ubiquitous Computing, 2021. Cites: paper

Association Between Dexamethasone and Delirium in Critically Ill Patients: A Retrospective Cohort Study of a Large Clinical Database
Zehao Wu, Huili Li, Kaihua Liao et al. Journal of Surgical Research, 2021. Cites: paper

Can Big Data and Machine Learning Improve Our Understanding of Acute Respiratory Distress Syndrome?
Sanket Bhattarai, Ashish Gupta, Eiman A. Ali et al. Cureus, 2021. Cites: paper

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
Patrick J. Thoral, Jan M. Peppink, Ronald H. Driessen et al. Critical Care Medicine, 2021. Cites: paper

Establishment of a Highly Predictive Survival Nomogram For Patients With Sepsis: A Retrospective Cohort Study
Hui Liu, Luming Zhang, Fengshuo Xu et al. Research Square, 2021. Cites: paper

Severity of Illness and Predictive Models in Society of Critical Care Medicine’s First 50 Years: A Tale of Concord and Conflict
Andrew A. Kramer, Jack E. Zimmerman, William A. Knaus. Critical Care Medicine, 2021. Cites: paper

Admission White Blood Cell Count Predicts Short- and Long-Term Mortality in Patients With Acute Aortic Dissection: Data From the MIMIC-III Database
Chiyuan Zhang, Zuli Fu, Xuliang Chen et al. Research Square, 2021. Cites: paper

Impact of Serum Chloride and Sodium in Patients With Decompensated Cirrhosis
Xuandong Jiang. Critical Care Medicine, 2021. Cites: paper

Preoperative Lymphocyte-to-Monocyte Ratio as a Prognostic Predictor of Long-Term Mortality in Cardiac Surgery Patients: A Propensity Score Matching Analysis
Zhuoming Zhou, Mengya Liang, Huawei Wu et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper

SURVFIT: Doubly sparse rule learning for survival data
Ameer Hamza Shakur, Shuai Huang, Xiaoning Qian et al. Journal of Biomedical Informatics, 2021. Cites: paper

TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study
Xiaoli Liu, Tongbo Liu, Zhengbo Zhang et al. JMIR Medical Informatics, 2021. Cites: paper

Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study
Ghada Alfattni, Maksim Belousov, Niels B. Peek et al. JMIR Medical Informatics, 2021. Cites: paper

A Hybrid Model for Family History Information Identification and Relation Extraction: Development and Evaluation of an End-to-End Information Extraction System
Young-Jun Kim, Paul M. Heider, Isabel RH Lally et al. JMIR Medical Informatics, 2021. Cites: paper

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
Arne Peine, Ahmed Hallawa, Johannes Bickenbach et al. npj Digital Medicine, 2021. Cites: paper

From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention
Cansu Şen, Bingyang Ye, Javed Alexander Aslam et al. arXiv (Cornell University), 2021. Cites: paper

Multi-layer Representation Learning and Its Application to Electronic Health Records
Shan Yang, Xiangwei Zheng, Cun Ji et al. Neural Processing Letters, 2021. Cites: paper

Evaluating the state-of-the-art in missing data imputation for clinical data (Preprint)
Yuan Luo. 2021. Cites: paper

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
Muhammad Ali Ibrahim, Muhammad Usman Ghani Khan, Faiza Mehmood et al. Journal of Biomedical Informatics, 2021. Cites: paper

DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis
Supreeth Prajwal Shashikumar, Christopher S. Josef, Ashish Sharma et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey
Oliver Maaßen, Sebastian Johannes Fritsch, Julia Palm et al. Journal of Medical Internet Research, 2021. Cites: paper

Hyperphosphatemia rather than hypophosphatemia indicates a poor prognosis in patients with sepsis
Huabin Wang, Lidan Zhang, Wenhua Liao et al. Clinical Biochemistry, 2021. Cites: paper

Multimodal temporal-clinical note network for mortality prediction
Haiyang Yang, Li Kuang, FengQiang Xia. Journal of Biomedical Semantics, 2021. Cites: paper

Serum lactate dehydrogenase level is associated with in-hospital mortality in critically Ill patients with acute kidney injury
Dan Zhang, Lin Shi. International Urology and Nephrology, 2021. Cites: paper

Thyroid hormone levels as a predictor marker predict the prognosis of patients with sepsis
Yiping Wang, Fangyuan Sun, Guangliang Hong et al. The American Journal of Emergency Medicine, 2021. Cites: paper

Exploratory Analysis of Electronic Health Records using Topic Modeling
Ivair Puerari, Denio Duarte, Guilherme Dal Bianco et al. Journal of Information and Data Management, 2021. Cites: paper

Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective
Daniele Roberto Giacobbe, Alessio Signori, Filippo Del Puente et al. Frontiers in Medicine, 2021. Cites: paper

Scalable Bayesian Inverse Reinforcement Learning
Alex Chan, Mihaela van der Schaar. arXiv (Cornell University), 2021. Cites: paper

AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events
Ibrahim Hammoud, Prateek Prasanna, I. V. Ramakrishnan et al. arXiv (Cornell University), 2021. Cites: paper

Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah, Paras Sheth, Mansooreh Karami et al. arXiv (Cornell University), 2021. Cites: paper

Deep Reinforcement Learning Techniques in Diversified Domains: A Survey
Surbhi Gupta, Gaurav Singal, Deepak Garg. Archives of Computational Methods in Engineering, 2021. Cites: paper

Machine learning prediction models for prognosis of critically ill patients after open-heart surgery
Zhihua Zhong, Xin Yuan, Shizhen Liu et al. Scientific Reports, 2021. Cites: paper

A Dynamic Ensemble Learning Algorithm based on K-means for ICU mortality prediction
Chonghui Guo, Mucan Liu, Menglin Lu. Applied Soft Computing, 2021. Cites: paper

Electronic healthcare records and external outcome data for hospitalized patients with heart failure
Zhongheng Zhang, Linghong Cao, Rangui Chen et al. Scientific Data, 2021. Cites: paper

Data analytics and clinical feature ranking of medical records of patients with sepsis
Davide Chicco, Luca Oneto. BioData Mining, 2021. Cites: paper

Obesity and Overweight Are Independently Associated with Greater Survival in Critically Ill Diabetic Patients: A Retrospective Cohort Study
Wentao Huang, Yongsong Chen, Guoshu Yin et al. Journal of Diabetes Research, 2021. Cites: paper

A Comprehensive Way to Access Hospital Death Prediction Model for Acute Mesenteric Ischemia: A Combination of Traditional Statistics and Machine Learning
Wenhan Wu, Zong‐Guang Zhou. International Journal of General Medicine, 2021. Cites: paper

Association Between Blood Eosinophils and Mortality in Critically Ill Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study
Jia Yang, Junchao Yang. International Journal of COPD, 2021. Cites: paper

Development and validation of a risk stratification model for predicting the mortality of acute kidney injury in critical care patients
Haofan Huang, Yong Liu, Ming Ting Wu et al. Annals of Translational Medicine, 2021. Cites: paper

Heart rate fluctuation predicts mortality in critically ill patients in the intensive care unit: a retrospective cohort study
Qi Guo, Zhanchao Xiao, Mao-huan Lin et al. Annals of Translational Medicine, 2021. Cites: paper

Overweight is associated with better one-year survival in elderly patients after cardiac surgery: a retrospective analysis of the MIMIC-III database
Yiran Zhang, Qi Zheng, Xiaoyi Dai et al. Journal of Thoracic Disease, 2021. Cites: paper

Red cell distribution width is associated with all-cause mortality in patients with acute stroke: a retrospective analysis of a large clinical database
Han Zhao, Yuanchen Zhao, Zhipeng Wu et al. Journal of International Medical Research, 2021. Cites: paper

Sex Differences in Short- and Long-Term Survival Among Critically Ill Patients with Sepsis
Shan Lin, Wanmei He, Zixuan Hu et al. International Journal of General Medicine, 2021. Cites: paper

The Relationship Between the Serum Anion Gap and All-Cause Mortality in Acute Pancreatitis: An Analysis of the MIMIC-III Database
Fang Gong, Quan Zhou, Chunmei Gui et al. International Journal of General Medicine, 2021. Cites: paper

Zukunft der Intensivmedizin – Künstliche Intelligenz
Johannes Bickenbach, Oliver Maaßen. Intensivmedizin up2date, 2021. Cites: paper

Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation
Soham Parikh, Anahita Davoudi, Shun Yu et al. JMIR Medical Informatics, 2021. Cites: paper

Predicting and simulating effects of PEEP changes with machine learning
Claas Strodthoff, Inéz Frerichs, Norbert Weiler et al. medRxiv, 2021. Cites: paper

Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation
A Nava, Felipe Atienza, Javier Bermejo et al. American Journal of Physiology-Heart and Circulatory Physiology, 2021. Cites: paper

Patients With Idiopathic Pulmonary Fibrosis Admitted to the ICU With Acute Respiratory Failure—A Reevaluation of the Risk Factors and Outcomes
Matthew Schrader, Matheni Sathananthan, Niranjan Jeganathan. Journal of Intensive Care Medicine, 2021. Cites: paper

Early Prediction of Sepsis using Machine Learning
Anuraag Shankar, Mufaddal Diwan, Snigdha Singh et al. International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021. Cites: paper

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