Cited by
MIMIC-II Clinical Database (v2.6.0)
1148 publications cite any version of this project or its primary paper, newest first.
-
Blood pressure stratification using photoplethysmography and light gradient boosting machine
Xudong Hu, Shimin Yin, Xizhuang Zhang et al. Frontiers in Physiology, 2023. Cites: paper -
Multitask deep label distribution learning for blood pressure prediction
Keke Qin, Wu Xin Huang, Tao Zhang. Information Fusion, 2023. Cites: paper -
PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore et al. Frontiers in Digital Health, 2023. Cites: paper -
Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
Hanna Vitaliyivna Denysyuk, Rui João Pinto, Pedro Miguel Silva et al. Heliyon, 2023. Cites: paper -
β-Blockers could improve the 28-day and 3-year survival of patients with end-stage renal disease: a retrospective cohort study
Hui Dong, Lang Zhou, Luyu Yang et al. International Urology and Nephrology, 2023. Cites: paper -
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury et al. Bioengineering, 2023. Cites: paper -
Personalized online ensemble machine learning with applications for dynamic data streams
Ivana Malenica, Rachael V. Phillips, Antoine Chambaz et al. Statistics in Medicine, 2023. Cites: paper -
A Novel Experience-Driven and Federated Intelligent Threat-Defense Framework in IoMT
Bushra Tahir, Alireza Jolfaei, Muhammad Tariq. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper -
Noninvasive Blood Pressure Prediction Based on Dual Encoder U-Net
Qi Long Sun, Peng Chen, Jun Zhang et al. International Conference on Computer Research and Development, 2023. Cites: paper -
WITHDRAWN: Predictive value of neutrophil-to-lymphocyte ratio in mortality of critically ill patients with atrial fibrillation: a retrospective analysis of the Medical Information Mart for Intensive Care IV Database
Ruicong Ma, Yucheng Chen, Guolin Zhang et al. Research Square, 2023. Cites: paper -
Fusion Model for Tentative Diagnosis Inference Based on Clinical Narratives
Ying Yu, Junwen Duan, Min Li. Tsinghua Science & Technology, 2023. Cites: paper -
MIMIC-IV, a freely accessible electronic health record dataset
Alistair E. W. Johnson, Lucas Bulgarelli, Lu Shen et al. Scientific Data, 2023. Cites: paper -
A Machine Learning Approach Using Statistical Models for Early Detection of Cardiac Arrest in Newborn Babies in the Cardiac Intensive Care Unit
Ketan Gupta, Nasmin Jiwani, Giovanni Pau et al. IEEE Access, 2023. Cites: paper -
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment
Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas et al. IEEE Access, 2023. Cites: paper -
Building an Explainable Diagnostic Classification Model for Brain Tumor using Discharge Summaries
Priyanka C. Nair, Deepa Gupta, Bhagavatula Indira Devi et al. Procedia Computer Science, 2023. Cites: paper -
Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
Elias Pimenidis, Kamran Soomro, Antoniοs Papaleonidas et al. Lecture notes in computer science, 2023. Cites: paper -
Cost-constrained Group Feature Selection Using Information Theory
Tomasz Klonecki, Paweł Teisseyre, Jaesung Lee. Lecture notes in computer science, 2023. Cites: paper -
Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram
Nuryani Nuryani, Trio Pambudi Utomo, Nanang Wiyono et al. Journal of Biomedical Physics and Engineering, 2023. Cites: paper -
Deep Learning Models for Automatic De-identification of Clinical Text
Ravichandra Sriram, Siva Sathya Sundaram, S. LourduMarie Sophie. IFIP advances in information and communication technology, 2023. Cites: paper -
Devices based on photoplethysmogram and pulse oximetry
Miodrag Bolić. Elsevier eBooks, 2023. Cites: paper -
Devices based on the time difference between signals
Miodrag Bolić. Elsevier eBooks, 2023. Cites: paper -
Optimizing Left Ventricular Assist Device Therapy: A Machine Learning Approach for Predicting Cardiac Output
Marwen Belkacem, Farah Jemili, Omar Ellouze et al. Research Square, 2023. Cites: paper -
Machine learning and deep learning for blood pressure prediction: a methodological review from multiple perspectives
Keke Qin, Wu Xin Huang, Tao Zhang et al. Artificial Intelligence Review, 2022. Cites: paper -
Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges
Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif. Bioengineering, 2022. Cites: paper -
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns
Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar et al. Biomedical Signal Processing and Control, 2022. Cites: paper -
Mask recognition system based on anchor
Yuting Xing, Wude Cai. IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2022. Cites: paper -
Development and validation of MedDRA Tagger: a tool for extraction and structuring medical information from clinical notes
Marie Humbert‐Droz, Jessica Corley, Suzanne R Tamang et al. medRxiv, 2022. Cites: paper -
Machine Learning Algorithm to Predict Cardiac Output Using Arterial Pressure Waveform Analysis
Ke Liao, Armağan Elibol, Wei Xiao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper -
Association between statin use during hospitalisation and mortality in patients with intracerebral haemorrhage: a propensity score-matched cohort study
Min Yuan, Xinhua Zhou, Xiaoqing Lu et al. BMJ Open, 2022. Cites: paper -
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 SmartWorld Congress (SmartWorld), 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 R. 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 Alexandra 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
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.