Publications citing MIMIC-II Clinical Database v2.6.0

Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks
Stephanie Baker, Wei Xiang, Ian Atkinson. PLoS ONE, 2021. Cites: paper

Relationship between 24-h venous blood glucose variation and mortality among patients with acute respiratory failure
Xiaoling Zhang, Jingjing Zhang, Jiamei Li et al. Scientific Reports, 2021. Cites: paper

On the development of an efficient, low-complexity and highly reproducible method for systolic peak detection
Erick Javier Argüello Prada, Carlos Alberto Bravo Gallego, Javier Ferney Castillo García. Biomedical Signal Processing and Control, 2021. Cites: paper

Ontology-driven weak supervision for clinical entity classification in electronic health records
Jason Fries, Ethan Steinberg, Saelig Khattar et al. Nature Communications, 2021. Cites: paper

A Novel Switching State-Space Model for Post-ICU Mortality Prediction and Survival Analysis
Yilin Yin, Chun-An Chou. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
Miguel Angel Pereira, Patricia Concheiro-Moscoso, Alexo López-Álvarez et al. Applied Sciences, 2021. Cites: paper

Use of learning approaches to predict clinical deterioration in patients based on various variables: a review of the literature
Tariq Ibrahim Al-Shwaheen, Mehrdad Moghbel, Yuan Wen Hau et al. Artificial Intelligence Review, 2021. Cites: paper

Deep neural network based missing data prediction of electrocardiogram signal using multiagent reinforcement learning
Soumyendu Banerjee, Girish Kumar Singh. Biomedical Signal Processing and Control, 2021. Cites: paper

Technical Report on Data Integration and Preparation
El Kindi Rezig, Michael Cafarella, Vijay N. Gadepally. arXiv (Cornell University), 2021. Cites: paper

The rebound of platelet count could be a predictor of good prognosis of sepsis in the intensive care unit: a retrospective analysis of the large clinical database MIMIC-III
Huang Fa, Jinghong Xu, Tong Li et al. Research Square, 2021. Cites: paper

Cuffless blood pressure estimation methods: physiological model parameters versus machine-learned features
Jamal Esmaelpoor, Mohammad Hassan Moradi, Abdolrahim Kadkhodamohammadi. Physiological Measurement, 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

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

Do the types and routes of proton pump inhibitor treatments affect clostridium difficile in ICU patients? A retrospective cohort study
Peia Lee, David S. Fike, Hui Yang et al. Expert Review of Clinical Pharmacology, 2021. Cites: paper

Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types
Nuttapong Sanglerdsinlapachai, Anon Plangprasopchok, Tu Bao Ho et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Continuous Monitoring of Blood Pressure with Evidential Regression
Hyeong‐Ju Kim, Woo Hyun Kang, Hyeonseung Lee et al. arXiv (Cornell University), 2021. Cites: paper

A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things
Engy El-Shafeiy, Karam M. Sallam, Ripon Kumar Chakrabortty et al. Expert Systems with Applications, 2021. Cites: paper

Pebbles: Leveraging Sketches for Processing Voluminous, High Velocity Data Streams
Thilina Buddhika, Sangmi Lee Pallickara, Shrideep Pallickara. IEEE Transactions on Parallel and Distributed Systems, 2021. Cites: paper

Künstliche Intelligenz in der Neurointensivmedizin
Nils Schweingruber, Christian P Gerloff. Der Nervenarzt, 2021. Cites: paper

Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak. Multimedia Systems, 2021. Cites: paper

Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals
Sumair Aziz, Muhammad Awais, Muhammad Umar Khan et al. Expert Systems, 2021. Cites: paper

Novel framework based on deep learning and cloud analytics for smart patient monitoring and recommendation (SPMR)
Anand Motwani, Piyush Kumar Shukla, Mahesh Kumar Pawar. Journal of Ambient Intelligence and Humanized Computing, 2021. Cites: paper

A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)
Sumbal Maqsood, Shuxiang Xu, Matthew Springer et al. IEEE Access, 2021. Cites: paper

Big Data analytics in medical imaging
Siddhant Bagga, Sarthak Gupta, Deepak Sharma. Elsevier eBooks, 2021. Cites: paper

Controlling Costs in Feature Selection: Information Theoretic Approach
Paweł Teisseyre, Tomasz Klonecki. Lecture notes in computer science, 2021. Cites: paper

Explainable machine learning prediction of ICU mortality
Alvin Har Teck Chia, May Sze Khoo, Andy Zhengyi Lim et al. Informatics in Medicine Unlocked, 2021. Cites: paper

Patient Monitoring Systems
Vitaly Herasevich, Brian W. Pickering, Terry P. Clemmer et al. Springer eBooks, 2021. Cites: paper

Photoplethysmography-Based Blood Pressure Estimation Combining Filter-Wrapper Collaborated Feature Selection With LASSO-LSTM Model
Dingliang Wang, Xuezhi Yang, Xuenan Liu et al. IEEE Transactions on Instrumentation and Measurement, 2021. Cites: paper

[Retracted] Featureless Blood Pressure Estimation Based on Photoplethysmography Signal Using CNN and BiLSTM for IoT Devices
Yung‐Hui Li, Latifa Nabila Harfiya, Ching‐Chun Chang. Wireless Communications and Mobile Computing, 2021. Cites: paper

The Tools and Resources for Clinical Text Processing
Ulfeta Marovac, Aldina Avdić. International Scientific Conference Sinteza, 2021. Cites: paper

Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning
Santosh Shinde, P. Rajarajeswari. International Journal of Advanced Computer Science and Applications, 2021. Cites: paper

Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damián Pascual, Sandro Luck, Roger P. Wattenhofer. Workshop on Biomedical Language Processing (BioNLP), 2021. Cites: paper

A novel nomogram for predicting survival in patients with severe acute pancreatitis: an analysis based on the large MIMIC-III clinical database
Di di Han, Shuo Feng Xu, Zhuo Cheng Li et al. 2020. Cites: paper

Machine learning as a tool for diagnostic and prognostic research in coronary artery disease
B. I. Geltser, Циванюк Михаил Михайлович, Karina I. Shakhgeldyan et al. Russian Journal of Cardiology, 2020. Cites: paper

Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit
Shaun M. Davidson, Mauricio Villarroel, Eoin Finnegan et al. Computing in cardiology, 2020. Cites: paper

A Novel and Reliable Framework of Patient Deterioration Prediction in Intensive Care Unit Based on Long Short-Term Memory-Recurrent Neural Network
Tariq Ibrahim Al-Shwaheen, Yuan Wen Hau, Nizar Ass'Ad et al. IEEE Access, 2020. Cites: paper

CMIID: A comprehensive medical information identifier for clinical search harmonization in Data Safe Havens
Michael A.P. Domingues, Rui Carlos Camacho, Pedro Pereira Rodrigues. Journal of Biomedical Informatics, 2020. Cites: paper

Flexible Regularization Approaches for Fairness in Deep Learning
Matt Olfat, Yonatan Dov Mintz. IEEE Conference on Decision and Control (CDC), 2020. Cites: paper

Robust T-End Detection via T-End Signal Quality Index and Optimal Shrinkage
Pei-Chun Su, Elsayed Z. Soliman, Hau‐Tieng Wu. Sensors, 2020. Cites: paper

A Short Survey of LSTM Models for De-identification of Medical Free Text
Joffrey L. Leevy, Taghi M. Khoshgoftaar. IEEE International Conference on Collaboration and Internet Computing (CIC), 2020. Cites: paper

Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review
Jessica Schwartz, Amanda J Moy, Sarah Collins Rossetti et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Towards better heartbeat segmentation with deep learning classification
Pedro Silva, Eduardo Jose da Silva Luz, Guilherme Silva et al. Scientific Reports, 2020. Cites: paper

Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology
Ahmed Youssef Ali Amer, Femke Wouters, Julie Vranken et al. Sensors, 2020. Cites: paper

A Robust Beat-to-Beat Artifact Detection Algorithm for Pulse Wave
Qihan Hu, Xintao Deng, Xin Liu et al. Mathematical Problems in Engineering, 2020. Cites: paper

Mosaic Privacy-Preserving Mechanisms for Healthcare Analytics
Alexander Krall, Daniel A. Finke, Hui Yong Yang. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

The quest for raw signals
Florian Wolling, Kristof Van Laerhoven. Workshop on Data: Acquisition To Analysis (DATA), 2020. Cites: paper

Multimodal Early Septic Shock Prediction Model using Lasso Regression with Decaying Response
Ibrahim Hammoud, I. V. Ramakrishnan, Mark C. Henry et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment
Mauricio Villarroel, João Jorge, David Meredith et al. Scientific Reports, 2020. Cites: paper

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars
Daniel McDuff, Javier Hernandez, Erroll Wood et al. arXiv (Cornell University), 2020. Cites: paper

Cited by