Publications citing MIMIC-III Waveform Database v1.0

AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
Tianshu Hao, Jianfeng Zhan, Kai Hwang et al. arXiv (Cornell University), 2020. Cites: paper

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations
Ioana Bica, Ahmed M. Alaa, James Jordon et al. arXiv (Cornell University), 2020. Cites: paper

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman, Joseph Futoma, Yao Liu et al. arXiv (Cornell University), 2020. Cites: paper

ICU management based on big data
Stefano Falini, Giovanni Angelotti, Maurizio Cecconi. Current Opinion in Anaesthesiology, 2020. Cites: paper

Real-world data medical knowledge graph: construction and applications
Linfeng Li, Peng Wang, Jun Yan et al. Artificial Intelligence in Medicine, 2020. Cites: paper

A new method for identifying the acute respiratory distress syndrome disease based on noninvasive physiological parameters
Pengcheng Yang, Taihu Wu, Ming Yu et al. PLoS ONE, 2020. Cites: paper

Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review
Eric Mlodzinski, David J. Stone, Leo Anthony Celi. Pulmonary Therapy, 2020. Cites: paper

Adapting and evaluating a deep learning language model for clinical why-question answering
Andrew Wen, Mohamed Y Elwazir, Sungrim Moon et al. JAMIA Open, 2020. Cites: paper

A review of Automatic end-to-end De-Identification: Is High Accuracy the Only Metric?
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo. Applied Artificial Intelligence, 2020. Cites: paper

Efficacy and safety of corticosteroids for septic shock in immunocompromised patients: A cohort study from MIMIC
Xin Lu, Xue Wang, Yanxia Gao et al. The American Journal of Emergency Medicine, 2020. Cites: paper

A New Modeling Method Base on Candidate Window for Clinical Concept Extraction
Yongtao Tang, Shasha Li, Bin Ji et al. 2020. Cites: paper

Machine Learning Methods to Predict Mortality of Patients with Intracerebral hemorrhage in the ICU
Dongfeng Liu, Siru Liu, Qinwen Shi et al. 2020. Cites: paper

Assessment of Amazon Comprehend Medical: Medication Information Extraction
Benedict Vincent Guzman, MS, Isabel Metzger et al. arXiv (Cornell University), 2020. Cites: paper

Association Between Comorbid Chronic Obstructive Pulmonary Disease and Prognosis of Patients Admitted to the Intensive Care Unit for Non-COPD Reasons: A Retrospective Cohort Study
Wencheng Huang, Ruijie Xie, Yuancheng Hong et al. International Journal of COPD, 2020. Cites: paper

Brief introduction of medical database and data mining technology in big data era
Jin Yang, Yuanjie Li, Qingqing Liu et al. Journal of Evidence-Based Medicine, 2020. Cites: paper

Association Between Peripheral Blood Oxygen Saturation (SpO 2 )/Fraction of Inspired Oxygen (FiO 2 ) Ratio Time at Risk and Hospital Mortality in Mechanically Ventilated Patients
Jason Y. Adams, Angela J. Rogers, Alejandro Schuler et al. The Permanente Journal, 2020. Cites: paper

CarePre
Zhuochen Jin, Shuyuan Cui, Shunan Guo et al. ACM Transactions on Computing for Healthcare, 2020. Cites: paper

Customization scenarios for de-identification of clinical notes
Tzvika Hartman, Michael D. Howell, Jeff Dean et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Artificial Intelligence Assisted Early Warning System for Acute Kidney Injury Driven by Multi-Center ICU Database
Sai Huang, Li Chen, Lili Wang et al. medRxiv, 2020. Cites: paper

Combining deep learning with token selection for patient phenotyping from electronic health records
Zhen Yang, Matthias Dehmer, Olli P. Yli-Harja et al. Scientific Reports, 2020. Cites: paper

Effect of lymphocyte-to-monocyte ratio on survival in septic patients: an observational cohort study
Xiang Hu, Xiaoyi Qin, Xiaolong Gu et al. Archives of Medical Science, 2020. Cites: paper

Development of a nomogram to predict in-hospital mortality of sepsis-associated encephalopathy: a retrospective cohort study
Yang Yang, Shengru Liang, Jie Geng et al. 2020. Cites: paper

A Path for Translation of Machine Learning Products into Healthcare Delivery
Mark Sendak, Joshua D’Arcy, Sehj Kashyap et al. EMJ Innovation, 2020. Cites: paper

Doctor XAI
Cecilia Panigutti, Alan Perotti, Dino Pedreschi. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2020. Cites: paper

A machine-learning approach to predicting hypotensive events in ICU settings
Mina Chookhachizadeh Moghadam, Ehsan Masoumi Khalil Abad, Nader Bagherzadeh et al. Computers in Biology and Medicine, 2020. Cites: paper

Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
Sebastiano Barbieri, J D Kemp, Oscar Perez‐Concha et al. Scientific Reports, 2020. Cites: paper

Evaluating the Impact of Ventilator-Associated Parameters on Ventilation Free Days of non-ARDS Patients in ICU.
Na Liu, Jingxuan Ren, Lina Yu et al. 2020. Cites: paper

A boosting inspired personalized threshold method for sepsis screening
Chen Feng, Paul M. Griffin, Shravan Kethireddy et al. Journal of Applied Statistics, 2020. Cites: paper

Genetic Variation and Response to Neurocritical Illness: a Powerful Approach to Identify Novel Pathophysiological Mechanisms and Therapeutic Targets
Julián Acosta, Stacy C Brown, Guido J. Falcone. Neurotherapeutics, 2020. Cites: paper

Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks
Deyin Liu, Lin Yuanbo Wu, Xue Li et al. Neural Networks, 2020. Cites: paper

Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks
Chuan Xi Wang, Xumeng Wang, Kwan‐Liu Ma. arXiv (Cornell University), 2020. Cites: paper

Data initiatives supporting critical care research and quality improvement in Canada: an environmental scan and narrative review
the Canadian Critical Care Trials Group (CCCTG) and Canadian Critical Care Translational Biology Group (CCCTBG), Nicholas L.J. Chornenki, Patricia C. Liaw et al. Canadian Journal of Anesthesia/Journal canadien d anesthésie, 2020. Cites: paper

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury
Mohammad Amin Morid, Olivia R. Liu Sheng, Guilherme Del Fiol et al. JMIR Medical Informatics, 2020. Cites: paper

Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database
Bihuan Cheng, Diwen Li, Yuqiang Gong et al. Disease Markers, 2020. Cites: paper

Discovering hidden information in biosignals from patients using artificial intelligence
Dukyong Yoon, Jong-Hwan Jang, Byungjin Choi et al. Korean Journal of Anesthesiology, 2020. Cites: paper

A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision
Travis R. Goodwin, Dina Demner‐Fushman. Journal of the American Medical Informatics Association, 2020. Cites: paper

A Novel Tensor-Based Temporal Multi-Task Survival Analysis Model
Ping Wang, Tian Shi, Chandan K. A. Reddy. IEEE Transactions on Knowledge and Data Engineering, 2020. Cites: paper

Prognostic value of an inflammatory biomarker-based clinical algorithm in septic patients in the emergency department: An observational study
Chenyan Zhao, Wei Yao, Dongyu Chen et al. International Immunopharmacology, 2020. Cites: paper

Development of a nomogram to predict in-hospital mortality of sepsis-associated encephalopathy: a retrospective cohort study
Yang Yang, Shengru Liang, Jie Geng et al. 2020. Cites: paper

Variable selection and estimation in causal inference using Bayesian spike and slab priors
Brandon Koch, David M. Vock, Julian A. Wolfson et al. Statistical Methods in Medical Research, 2020. Cites: paper

PIC, a paediatric-specific intensive care database
Xian Liang Zeng, Gang Yu, Lu Yang et al. Scientific Data, 2020. Cites: paper

POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning
Joseph Futoma, Michael C. Hughes, Finale Doshi‐Velez. arXiv (Cornell University), 2020. Cites: paper

Diagnostic and prognostic value of red blood cell distribution width in sepsis: A narrative review
Zhi-De Hu, Giuseppe Lippi, Martina Montagnana. Clinical Biochemistry, 2020. Cites: paper

Deep Natural Language Processing Identifies Variation in Care Preference Documentation
Brooks V. Udelsman, Edward T. Moseley, Rebecca L. Sudore et al. Journal of Pain and Symptom Management, 2020. Cites: paper

Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning
Joseph Futoma, Masood, Muhammad A., Finale Doshi‐Velez. PubMed Central, 2020. Cites: paper

From a pressure-guided to a perfusion-centered resuscitation strategy in septic shock: Critical literature review and illustrative case
Raúl J. Gazmuri, Cristina Añez de Gomez. Journal of Critical Care, 2020. Cites: paper

Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms
Michael Roimi, Ami Neuberger, Anat Shrot et al. Intensive Care Medicine, 2020. Cites: paper

Does BERT need domain adaptation for clinical negation detection?
Chen Lin, Steven J. Bethard, Dmitriy Dligach et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes
Aditya Jayasimha, Tushaar Gangavarapu, S. Sowmya Kamath et al. Joint International Conference on Data Science & Management of Data (CODS-COMAD), 2020. Cites: paper

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang et al. Journal of Biomedical Informatics, 2020. Cites: paper

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