Publications citing MIMIC-II Clinical Database v2.6.0

Development of machine learning schemes for use in non-invasive and continuous patient health monitoring
Stephanie Baker. ResearchOnline - JCU (James Cook University), 2021. Cites: paper

Establishment of a prognostic model for patients with sepsis based on SOFA: a retrospective cohort study
Hui Liu, Luming Zhang, Fengshuo Xu et al. Journal of International Medical Research, 2021. Cites: paper

The Effect of Long-Term Duration Renal Replacement Therapy on Outcomes of Critically Ill Patients with Acute Kidney Injury: A Retrospective Cohort Study
Mengmeng Yang, Yun Li, Peiyao Li et al. Evidence-based Complementary and Alternative Medicine, 2021. Cites: paper

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals
Michele Resta, Anna Monreale, Davide Bacciu. Entropy, 2021. Cites: paper

Atrial fibrillation increases inpatient and 4-year all-cause mortality in critically ill patients with liver cirrhosis
Yanting Luo, Bingyuan Wu, Yuankai Wu et al. Annals of Translational Medicine, 2021. Cites: paper

Comparison of machine learning algorithms for mortality prediction in intensive care patients on multi-center critical care databases
Thanakron Na Pattalung, Sitthichok Chaichulee. IOP Conference Series Materials Science and Engineering, 2021. Cites: paper

Systemic Immune-Inflammation Index for Predicting the Prognosis of Critically Ill Patients with Acute Pancreatitis
Daguan Zhang, Tingting Wang, Xiuli Dong et al. International Journal of General Medicine, 2021. Cites: paper

Healthcare Framework for Risk Analysis of Hypertension
T. S. Anukirthika, Dellecta Jessy Rashmi R, Nadaradjane Sri Madhava Raja et al. International Conference on System, Computation, Automation and Networking (ICSCAN), 2021. Cites: paper

Cuffless blood pressure estimation based on composite neural network and graphics information
Ye Qiu, Dongdong Liu, Guoyu Yang et al. Biomedical Signal Processing and Control, 2021. Cites: paper

Deep generative model with domain adversarial training for predicting arterial blood pressure waveform from photoplethysmogram signal
Keke Qin, Wu Xin Huang, Tao Zhang. Biomedical Signal Processing and Control, 2021. Cites: paper

Lightweight Compressed Sensing (CS) and Partial DCT Based Compression Schemes for Energy-Efficient Wearable PPG Monitoring Devices
Gangireddy Narendra Kumar Reddy, M. Sabarimalai Manikandan, Neti V. L. Narasimha Murty. IEEE International Conference on Health, Instrumentation & Measurement, and Natural Sciences (InHeNce), 2021. Cites: paper

Illumination Invariant Non-Invasive Heart Rate And Blood Pressure Estimation From Facial Thermal Images using Deep Learning
Kavya S Nair, S Sarath. International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2021. Cites: paper

MSSET: A high-performance time-frequency analysis method for sparse-spectrum biomedical signal
Yalin Wang, Wei Zhou, Xian Feng Zhao et al. Computers in Biology and Medicine, 2021. Cites: paper

Discharge prediction of critical patients with spinal cord injury: a machine learning study with 1485 cases
Guoxin Fan, Huaqing Liu, Sheng Yang et al. medRxiv, 2021. Cites: paper

Classification of blood pressure in critically ill patients using photoplethysmography and machine learning
Elisa Mejía‐Mejía, James Michael May, Mohamed Elgendi et al. Computer Methods and Programs in Biomedicine, 2021. Cites: paper

Non-Invasive Modeling of Intracranial Hypertension from Physiological Channels
Parisa Naraei. 2021. Cites: paper

Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury
Maria Luisa Tataranno, Daniel C. Vijlbrief, Jeroen Dudink et al. Frontiers in Pediatrics, 2021. Cites: paper

Ordinal Historical Dependence in Graphical Event Models with Tree Representations
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Medical Provider Embeddings for Healthcare Fraud Detection
Justin M. Johnson, Taghi M. Khoshgoftaar. SN Computer Science, 2021. Cites: paper

A Survey on Causal Inference
Liuyi Yao, Zhixuan Chu, Sheng Li et al. ACM Transactions on Knowledge Discovery from Data, 2021. Cites: paper

Discrete Heart Rate Values or Continuous Streams? Representation, Variability, and Meaningful Use of Vital Sign Data
Keith Feldman, Annie Rohan, Nitesh V. Chawla. CIN Computers Informatics Nursing, 2021. Cites: paper

Day-to-day progression of vital-sign circadian rhythms in the intensive care unit
Shaun M. Davidson, Mauricio Villarroel, Mirae Harford et al. Critical Care, 2021. Cites: paper

The Machine Learnings Leading the Cuffless PPG Blood Pressure Sensors Into the Next Stage
Paul C.-P. Chao, Chih‐Cheng Wu, Duc Huy Nguyen et al. IEEE Sensors Journal, 2021. Cites: paper

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

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

Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2021. Cites: paper

Cited by