Cited by
MIMIC-II Clinical Database (v2.6.0)
1172 publications cite any version of this project or its primary paper, newest first.
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Medicina en la era del big data
Gastón E. Murias. Fronteras en Medicina, 2022. Cites: paper -
Optimization hierarchy for fair statistical decision problems
Anil J. Aswani, Matt Olfat. The Annals of Statistics, 2022. Cites: paper -
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models
Yuntong Zhang, Jingye Xu, Mimi Xie et al. IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2022. Cites: paper -
Temporal Attention Splitting Network for Non-invasive Blood Glucose, Cuff-Less Blood Pressure Estimation
Shichao Li, Ling Xiong, Di Xia et al. IEEE Smart World Congress (SWC), 2022. Cites: paper -
Untitled
Fronteras en Medicina, 2022. Cites: paper -
Photoplethysmograph based arrhythmia detection using morphological features
Neha Neha, Harish Kumar Sardana, Rajesh V. Kanawade et al. Biomedical Signal Processing and Control, 2022. Cites: paper -
Logic Explained Networks
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini et al. Artificial Intelligence, 2022. Cites: paper -
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
Nabil Ibtehaz, Sakib Mahmud, Muhammad E. H. Chowdhury et al. Bioengineering, 2022. Cites: paper -
Hypertension Classification Using PPG Signals
Yeşim Hekim Tanç, Mahmut Öztürk. Medical Technologies Congress (TIPTEKNO), 2022. Cites: paper -
Devising a method for predicting a blood pressure level based on electrocardiogram and photoplethysmogram signals
Alexey Savostin, Аmandyk Tuleshov, Kayrat Koshekov et al. Eastern-European Journal of Enterprise Technologies, 2022. Cites: paper -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury et al. Bioengineering, 2022. Cites: paper -
Outcomes of Patients With Primary Cardiac Diagnoses Admitted to Cardiac vs Noncardiac Intensive Care Units
Samuel B. Brusca, Panagis Galiatsatos, Sarah Warner et al. JACC Advances, 2022. Cites: paper -
A Survey of Photoplethysmography and Imaging Photoplethysmography Quality Assessment Methods
Théo Desquins, Frédéric Bousefsaf, Alain Pruski et al. Applied Sciences, 2022. Cites: paper -
Cuffless Blood Pressure Estimation During Moderate- and Heavy-Intensity Exercise Using Wearable ECG and PPG
Cederick Landry, Eric T. Hedge, Richard L. Hughson et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper -
Current status and trends in researches based on public intensive care databases: A scientometric investigation
Min Li, Shuzhang Du. Frontiers in Public Health, 2022. Cites: paper -
Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network
Mohammad Bagher Khodabakhshi, Naeem Eslamyeh, Seyede Zohreh Sadredini et al. Computer Methods and Programs in Biomedicine, 2022. Cites: paper -
A Hybrid Biosignal Compression Model for Healthcare Sensor Networks
T Dheepa, Kency Taniya Antony Sekar, Satish Kumar Satti et al. IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2022. Cites: paper -
Machine learning Algorithm for Non-invasive Blood Pressure Estimation Using PPG Signals
Gengjia Zhang, Siho Shin, Jaehyo Jung et al. IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2022. Cites: paper -
The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field
Genevieve Coorey, Gemma A. Figtree, David Frederick Fletcher et al. npj Digital Medicine, 2022. Cites: paper -
Subject-Based Model for Reconstructing Arterial Blood Pressure from Photoplethysmogram
Qunfeng Tang, Zhencheng Chen, Rabab Kreidieh Ward et al. Bioengineering, 2022. Cites: paper -
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review
Jonas Chromik, Sophie Anne Inès Klopfenstein, Bjarne Pfitzner et al. Frontiers in Digital Health, 2022. Cites: paper -
A Survey on Big Data Application for Modality and Physiological Signal Analysis
Madeleine Liu Qinghui. 2022. Cites: paper -
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter H Charlton, Kevin Kotzen, Elisa Mejía‐Mejía et al. Physiological Measurement, 2022. Cites: paper -
INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale.
Rowena Griffiths, Laura Herbert, Ashley Akbari et al. International Journal for Population Data Science, 2022. Cites: paper -
Using Bayesian Optimization and Wavelet Decomposition in GPU for Arterial Blood Pressure Estimation
José A. González‐Nóvoa, Laura Busto, Pablo Santana et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022. Cites: paper -
JAN: Joint Attention Networks for Automatic ICD Coding
Yuzhou Wu, Zhigang Chen, Xin Yao et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper -
HydaLearn
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets et al. Applied Intelligence, 2022. Cites: paper -
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Γεώργιος Πετμεζάς, Leandros Stefanopoulos, Vassilis Kilintzis et al. JMIR Medical Informatics, 2022. Cites: paper -
Entropy-Based Logic Explanations of Neural Networks
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2022. Cites: paper -
Reinforcement Learning based Recommender Systems: A Survey
M. Mehdi Afsar, Trafford Crump, Behrouz H. Far. ACM Computing Surveys, 2022. Cites: paper -
KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography
Chenbin Ma, Peng Zhang, Fan Song et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper -
Reducing False Alarms in Intensive Care Units: A Scoping Review
Jiayan Huo, Shu‐Fen Wung, Janet Meiling Roveda et al. Exploratory Research and Hypothesis in Medicine, 2022. Cites: paper -
Ethnic disparities in publicly-available pulse oximetry databases
Fatemeh Y. Sinaki, Rabab Kreidieh Ward, Derek Abbott et al. Communications Medicine, 2022. Cites: paper -
An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications
Alessandra Galli, Roel J. H. Montree, Shuhao Que et al. Sensors, 2022. Cites: paper -
A Review of Noninvasive Methodologies to Estimate the Blood Pressure Waveform
Tasbiraha Athaya, Sunwoong Choi. Sensors, 2022. Cites: paper -
Predicting clinical outcomes using artificial intelligence and machine learning in neonatal intensive care units: a systematic review
Ryan Michael McAdams, Ravneet Ruby Kaur, Yao Sun et al. Journal of Perinatology, 2022. Cites: paper -
Cardiac troponin-T combined with Hemoglobin and some clinical characteristics to predict mortality of sepsis patients in adult: A retrospective cohort study
Kai-Zhi Xu, Ping Xu, Juanjuan Li et al. Research Square, 2022. Cites: paper -
DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography
Dong-Kyu Kim, Young‐Tak Kim, Hakseung Kim et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper -
Dynamic Bayesian network for predicting physiological changes, organ dysfunctions and mortality risk in critical trauma patients
Qi Chen, Bihan Tang, Jiaqi Song et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper -
Natural Language Processing as a Predictor of Mortality in Intensive Care Unit Patients
Mario V. Fusaro, Christian D. Becker, Daniel Miller et al. Research Square, 2022. Cites: paper -
Death by Round Numbers: Glass-Box Machine Learning Uncovers Biases in Medical Practice
Benjamin J. Lengerich, Rich Caruana, Mark Nunnally et al. medRxiv, 2022. Cites: paper -
Using Temporal Data Mining on Patient Data for Clinical Decision Making in the Care of the Sick Newborn.
Sidhartha Tan, K P Unnikrishnan. PubMed, 2022. Cites: paper -
Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network
Yuwen Chen, Yujie Li, Peng Deng et al. BMC Anesthesiology, 2022. Cites: paper -
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
Yongyi Chen, Dan Zhang, Hamid Reza Karimi et al. Neural Networks, 2022. Cites: paper -
Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals
Ali Bahari Malayeri, Mohammad Bagher Khodabakhshi. Scientific Reports, 2022. Cites: paper -
Use of unstructured text in prognostic clinical prediction models: a systematic review
Tom M Seinen, Egill Axfjord Fridgeirsson, Solomon Ioannou et al. Journal of the American Medical Informatics Association, 2022. Cites: paper -
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit
Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang et al. Frontiers in Artificial Intelligence, 2022. Cites: paper -
Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV
Danni Wang, Suning Wang, Hao Wu et al. Frontiers in Medicine, 2022. Cites: paper -
A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database
Xiaodan Li, Minmin Li. BMC Medical Informatics and Decision Making, 2022. Cites: paper -
Severity scoring systems and different biochemical markers as predictors of mortality in the respiratory ICU
Maha M. Elkholy, Samiaa Hamdy Sadek, Reham Mohammed El-morshedy et al. Egyptian Journal of Chest Diseases and Tuberculosis, 2022. Cites: paper
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