Publications citing MIMIC-III Waveform Database v1.0

PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
Suman Bhoi, Mong Li Lee, Wynne Hsu. arXiv (Cornell University), 2020. Cites: paper

DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration
Denise Bandeira da Silva, Diogo Schmidt, Cristiano André da Costa et al. Expert Systems with Applications, 2020. Cites: paper

PoRB-Nets: Poisson Process Radial Basis Function Networks
Beau Coker, Melanie F. Pradier, Finale Doshi‐Velez. Uncertainty in Artificial Intelligence, 2020. Cites: paper

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence.
H. S. Jennath, V. S. Anoop, S. Asharaf. International Journal of Interactive Multimedia and Artificial Intelligence, 2020. Cites: paper

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
Vadim Korolev, Artem A. Mitrofanov, Kirill Karpov et al. ChemRxiv, 2020. Cites: paper

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets et al. arXiv (Cornell University), 2020. Cites: paper

Development and Validation of a Nomogram to Predict the Mortality Risk in Elderly Patients With ARF：A Retrospective Study in the Mimic-III Database
Qin Chen, Jie Weng, Hou Ruonan et al. Research Square, 2020. Cites: paper

Early Prediction of the Carbapenem Resistance Gram-Negative Bacteria Carriage in Intensive Care Unit using Machine-Learning
Qiqiang Liang, Qinyu Zhao, Xin Xu et al. Research Square, 2020. Cites: paper

Effect of Timely Lactate Measurement on In-hospital Mortality among Adults with Hypotension and Hyperlactatemia: An Observational Study on Two Cohorts
Hui Chen, Xiebing Bao, Ying Xu et al. 2020. Cites: paper

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
Vadim Korolev, Artem A. Mitrofanov, Kirill Karpov et al. ChemRxiv, 2020. Cites: paper

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
Vadim Korolev, Artem A. Mitrofanov, Kirill V. Karpov et al. ChemRxiv, 2020. Cites: paper

A Decision Support Method for Prehospital Emergency Care Based on Ranking the Importance of Physiological Variables
Li Zhang, Shuying Zhao, Fang Li et al. Healthcare, 2020. Cites: paper

Association of Preadmission Metformin Exposure and Outcomes in Acute Kidney Injury Patients with Type 2 Diabetes in Intensive Care Unit: a Cohort Study
Qilin Yang, Jiezhao Zheng, Deliang Wen et al. Research Square, 2020. Cites: paper

Attention and Memory-Augmented Networks for Dual-View Sequential Learning
Yong He, Cheng Wang, Nan Li et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Cites: paper

Hierarchical Attention Propagation for Healthcare Representation Learning
Muhan Zhang, Christopher R. King, Michael Simon Avidan et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Cites: paper

Identifying Sepsis Subphenotypes via Time-Aware Multi-Modal Auto-Encoder
Changchang Yin, Ruoqi Liu, Dongdong Zhang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Cites: paper

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare
Xianli Zhang, Buyue Qian, Shilei Cao et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Cites: paper

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values
Kejing Yin, Ardavan Afshar, Joyce C. Ho et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020. Cites: paper

Methods for event time series prediction and anomaly detection
Siqi Liu. D-Scholarship@Pitt (University of Pittsburgh), 2020. Cites: paper

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
Tang, Weijing, Jiaqi Ma, Qiaozhu Mei et al. arXiv (Cornell University), 2020. Cites: paper

Is Monitoring for Phosphate a Necessary Measure in Critical Ill Patients ?
Yang Chen, Mengdi Luo, He Huang et al. 2020. Cites: paper

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Christian Bock, Michael Moor, Catherine Ruth Jutzeler et al. Methods in molecular biology, 2020. Cites: paper

An Isolated Data Island Benchmark Suite for Federated Learning.
Yuan Liang, Yange Guo, Yanxia Gong et al. arXiv (Cornell University), 2020. Cites: paper

Elevated liver fibrosis index FIB-4 is associated with poor clinical outcomes in patients with sepsis, an observational cohort study
Xiaodan Zhu, Xiaoyi Qin, Jingye Pan et al. Research Square, 2020. Cites: paper

Exploring the Optimal Range of Central Venous Pressure in Sepsis and Septic Shock Patients: A Retrospective Study in 208 Hospitals
Xiaodong Song, Zhaoxia Tang, Shuhe Li et al. Research Square, 2020. Cites: paper

Synthetic photoplethysmogram generation using two Gaussian functions
Qunfeng Tang, Zhencheng Chen, Rabab Kreidieh Ward et al. Scientific Reports, 2020. Cites: paper

The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database
Danne C. Elbers, Nathanael R. Fillmore, Feng-Chi Sung et al. Patterns, 2020. Cites: paper

Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19
Eliane Röösli, Brian Travis Rice, Tina Hernandez‐Boussard. Journal of the American Medical Informatics Association, 2020. Cites: paper

Coronary Artery Disease Classification from Photoplethysmographic Signals
Shibabroto Banerjee, Pourush Sood, Sujoy Ghose et al. International Conference on Medical and Health Informatics (ICMHI), 2020. Cites: paper

Cross-Domain Missingness-Aware Time-Series Adaptation With Similarity Distillation in Medical Applications
Baoyao Yang, Mang Ye, Qingxiong Tan et al. IEEE Transactions on Cybernetics, 2020. Cites: paper

Explainable Prediction of Medical Codes With Knowledge Graphs
Fei Teng, Wei Yang, Li Chen et al. Frontiers in Bioengineering and Biotechnology, 2020. Cites: paper

Open Science Saves Lives: Lessons from the COVID-19 Pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al. bioRxiv (Cold Spring Harbor Laboratory), 2020. Cites: paper

Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance
Mihir Khambete, William Su, Garcia, Juan et al. PubMed Central, 2020. Cites: paper

Benchmarking a distributed database design that supports patient cohort identification
Jero Mario Schäfer, Ulrich Sax, Lena Wiese. International Database Engineering and Applications Symposium (IDEAS), 2020. Cites: paper

A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis
Ren-qi Yao, Xin Jin, Guowei Wang et al. Frontiers in Medicine, 2020. Cites: paper

A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
Fahad Shabbir Ahmed, Liaqat Ali, Bellal A Joseph et al. The Journal of Trauma: Injury, Infection, and Critical Care, 2020. Cites: paper

RETRACTED ARTICLE: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)
Fahad Shabbir Ahmed, Liaqat Ali, Raza Ul Mustafa et al. Journal of Ambient Intelligence and Humanized Computing, 2020. Cites: paper

Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach
Adrienne Sarah Kline, Theresa J. B. Kline, Zahra Shakeri Hossein Abad et al. Journal of Medical Internet Research, 2020. Cites: paper

Automatic Process Comparison for Subpopulations: Application in Cancer Care
Francesca Marazza, Faiza Allah Bukhsh, Jeroen Geerdink et al. International Journal of Environmental Research and Public Health, 2020. Cites: paper

CAS: corpus of clinical cases in French
Natalia Grabar, Clément Dalloux, Vincent Claveau. Journal of Biomedical Semantics, 2020. Cites: paper

Prognostic Value of Acute-On-Chronic Liver Failure (ACLF) Score in Critically Ill Patients with Cirrhosis and ACLF
Xinran Lin, Xielin Huang, Li Wang et al. Medical Science Monitor, 2020. Cites: paper

The effect of conscious disorder on the 30-day mortality of sepsis
Yang Yang, Shengru Liang, Qiuhe Wang et al. Research Square, 2020. Cites: paper

Evaluating recommender systems for AI-driven biomedical informatics
William La Cava, Heather Williams, Weixuan Fu et al. Bioinformatics, 2020. Cites: paper

Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm
Samir S. Yadav, Shivajirao Manikrao Jadhav. Expert Systems with Applications, 2020. Cites: paper

Predicting Missing Values in Medical Data Via XGBoost Regression
Xinmeng Zhang, Chao Yan, Cheng Gao et al. Journal of Healthcare Informatics Research, 2020. Cites: paper

Critical care echocardiography: diagnostic or prognostic?
Philippe Vignon. Annals of Translational Medicine, 2020. Cites: paper

Evaluation of the updated “Candida score” with Sepsis 3.0 criteria in critically ill patients
Dongkai Li, Jiahui Zhang, Wen Han et al. Annals of Translational Medicine, 2020. Cites: paper

From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care
Ashley C Griffin, Ümit Topaloĝlu, Sean R. Davis et al. Yearbook of Medical Informatics, 2020. Cites: paper

Medical Information Extraction in the Age of Deep Learning
Udo Hahn, Michel Oleynik. Yearbook of Medical Informatics, 2020. Cites: paper

Semantic Embeddings for Medical Providers and Fraud Detection
Justin M. Johnson, Taghi M. Khoshgoftaar. IEEE International Conference on Information Reuse and Integration (IRI), 2020. Cites: paper

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