Publications citing MIMIC-II Clinical Database v2.6.0

Identification of Time-Series Pattern Marker in Its Application to Mortality Analysis of Pneumonia Patients in Intensive Care Unit
Suhyeon Lee, Suhyun Kim, Gayoun Koh et al. Journal of Personalized Medicine, 2024. Cites: paper

Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT
Menglei Gu, Yalan Liu, Hongbin Sun et al. BMC Nephrology, 2024. Cites: paper

Differentially private de-identifying textual medical document is compliant with challenging NLP analyses: Example of privacy-preserving ICD-10 code association
Yakini Tchouka, Jean-François Couchot, David Laiymani et al. Intelligent Systems with Applications, 2024. Cites: paper

Stress Detection and Classification from PPG Signals Recorded in Different Conditions - Pilot Study
Jiří Přibil, Anna Přibilová, Ivan Frollo. International Conference on Telecommunications and Signal Processing (TSP), 2024. Cites: paper

Wavelet-based Adaptive Boosting Method for Cuffless Blood Pressure Estimation on PYNQ-Z2
Vinit Kumar, Govindarajula V S Sai Bharadwaj, Jayesh Jayarajan et al. International Conference on Signal Processing and Communications (SPCOM), 2024. Cites: paper

The Complete Inpatient Record Using Comprehensive Electronic Data ( CIRCE ) project: A team‐based approach to clinically validated, research‐ready electronic health record data
Andrea L.C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin et al. Learning Health Systems, 2024. Cites: paper

An improved deep regression model with state space reconstruction for continuous blood pressure estimation
Liangyi Lyu, Lei Lü, Hanjie Chen et al. Computers & Electrical Engineering, 2024. Cites: paper

Salzburg Intensive Care database (SICdb): a detailed exploration and comparative analysis with MIMIC-IV
Sina Sadeghi, Lars Hempel, Niklas Rodemund et al. Scientific Reports, 2024. Cites: paper

P2E-LGAN: PPG to ECG Reconstruction Methodology using LSTM based Generative Adversarial Network
Rashmi Kumari, Surita Sarkar, Debeshi Dutta et al. IEEE International Symposium on Circuits and Systems proceedings, 2024. Cites: paper

A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji, Xiaobo Li, Wei Sun et al. ACM Computing Surveys, 2024. Cites: paper

Deep-CNWO: a deep-chaotic nature whale optimization algorithm for early prediction of blood pressure disorder in smart healthcare settings
Anand Motwani, Piyush Kumar Shukla, Mahesh Kumar Pawar et al. Neural Computing and Applications, 2024. Cites: paper

UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography
Yanke Guo, Qunfeng Tang, Zhencheng Chen et al. Electronics, 2024. Cites: paper

Advancing cuffless blood pressure estimation: A PPG-based multi-task learning model for enhanced feature extraction and fusion
Hanguang Xiao, Aohui Zhao, Wangwang Song et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Digitalization of anesthesiology and resuscitation services: multicenter questionnaire study
Горбань Вера Ивановна, А. В. Щеголев, Проценко Денис Николаевич et al. Annals of critical care, 2024. Cites: paper

A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections
Kaixuan Lai, Xusheng Wang, Congjun Cao. Sensors, 2024. Cites: paper

A Pulse Correlation Model for PPG Signal Quality Assessment and Key Pulse Extraction
Shijie Cheng, Ruifang Liu, Hao Wu et al. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024. Cites: paper

Using Data Augmentation to Improve the Accuracy of Blood Pressure Measurement Based on Photoplethysmography
Hanlin Mou, Congjian Li, Haoran Zhou et al. Electronics, 2024. Cites: paper

An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study
Paul M. Heider, Stéphane M. Meystre. Journal of Medical Internet Research, 2024. Cites: paper

Künstliche Intelligenz in der Intensivmedizin
André Baumgart, Grietje Ch Beck, David Ghezel-Ahmadi. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 2024. Cites: paper

LR-XFL: Logical Reasoning-Based Explainable Federated Learning
Yanci Zhang, Han Yu. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Debaditya Shome, Pritam Sarkar, Ali Etemad. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Advancing Non-Cuff Hypertension Detection: Leveraging 1D Convolutional Neural Network and Time Domain Physiological Signals
Nuryani Nuryani, Trio Pambudi Utomo, Nurhasan Agung Prabowo et al. International Journal of Online and Biomedical Engineering (iJOE), 2024. Cites: paper

Cuffless blood pressure estimation from photoplethysmography using deep convolutional neural network and transfer learning
Hüseyin Murat Koparır, Özkan Arslan. Biomedical Signal Processing and Control, 2024. Cites: paper

PHOTOPLETHYSMOGRAPHY BASED BLOOD PRESSURE ESTIMATION USING SYNCHROSQUEEZING TRANSFORM AND DEEP LEARNING
Yeşim Hekim Tanç, Mahmut Öztürk. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 2024. Cites: paper

A Hybrid Deep Learning Approach for Cuff-less Noninvasive Continuous Blood Pressure Estimation Based on Photoplethysmography
Md Sadek Ali, Md Shohidul Islam, Raymond H. Chan et al. IEEE International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS), 2024. Cites: paper

An Intelligent Health Surveillance System: Predictive Modeling of Cardiovascular Parameters through Machine Learning Algorithms Using LoRa Communication and Internet of Medical Things (IoMT)
P. Lavanya, Dr.I.V. Subba Reddy, Dr Venkatachalam Selvakumar et al. Journal of Internet Services and Information Security, 2024. Cites: paper

Fair non-contact blood pressure estimation using imaging photoplethysmography
Hongli Fang, Jiping Xiong, Linying He. Biomedical Optics Express, 2024. Cites: paper

An Integrated High-Gain Wide–Dynamic Range Photoplethysmography Sensor for Cardiac Health Monitoring
Neethu Mohan, Diaaeldin Abdelrahman, Noor Faris Ali et al. IEEE Sensors Journal, 2024. Cites: paper

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra et al. Computers in Biology and Medicine, 2024. Cites: paper

Harnessing Moderate-Sized Language Models for Reliable Patient Data De-identification in Emergency Department Records: An Evaluation of Strategies and Performance (Preprint)
Océane Dorémus, Dylan Russon, Benjamin Contrand et al. 2024. Cites: paper

Prediction of arterial blood pressure waveforms based on Multi-Task learning
Gang Ma, Lesong Zheng, Wenliang Zhu et al. Biomedical Signal Processing and Control, 2024. Cites: paper

A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering
Chongzhou Zhong, Mehdi Darbandi, Mohammad Nassr et al. Computers in Biology and Medicine, 2024. Cites: paper

Continual learning for cuffless blood pressure estimation
Chunlin Zhang, Wenyan Wang, Xinyue Song et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Prognostic value of the systemic immuno-inflammatory index in critically ill patients with vertebral fractures
Kaiya Zhang, Xia Li, Yaoyao Xu et al. Medicine, 2024. Cites: paper

An Artificial Intelligence-Based Photoplethysmography Analysis for Continuous Blood Pressure Measurement Using a Combinatory Deep Learning Structure
Mohammad Reza Peyghan, Mohammad Fallahi, Shahrokh Ghaemmaghami et al. SSRN Electronic Journal, 2024. Cites: paper

Fuzzy Situational Control at the Stages of the Medical-and-Technological Process: Problems and Possible Solutions
Б. А. Кобринский. Lecture notes in networks and systems, 2024. Cites: paper

IoT-driven predictive healthcare system for proactive treatment and improved patient management
Anushree Jain, Shanu Kuttan Rakesh. AIP conference proceedings, 2024. Cites: paper

Smart Patient Monitoring and Recommendation (SPMR) Using Cloud Analytics and Deep Learning
Amit Sundas, Sumit Badotra, Gurpreet Singh Shahi et al. IEEE Access, 2024. Cites: paper

A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring
Aikaterini Vraka, Roberto Zangróniz, Aurelio Quesada et al. Sensors, 2023. Cites: paper

Continuous non-invasive arterial blood pressure monitoring with photoplethysmography via SE-MSResUNet network
Ke Ma, Lili Zou, Feng Yang et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Improved Batching Strategy For Irregular Time-Series ODE
Ting Fung Lam, Yony Bresler, Ahmed Khorshid et al. International Conference on Machine Learning and Applications, 2023. Cites: paper

Analysis of pathogenic factors on the death rate of sepsis patients
Luwei Ye, Mei Feng, Qingran Lin et al. PLoS ONE, 2023. Cites: paper

Comparison of curve fitting methods for synthetic generation of PPG
V. Anupama, M.R. Ranjith, Maria Roshini et al. IEEE India Conference, 2023. Cites: paper

SMART-BP: SEM-ResNet and Auto-Regressor Based on a Two-Stage Framework for Noninvasive Blood Pressure Measurement
Chenbin Ma, Yangyang Sun, Peng Zhang et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Artificial intelligence in the NICU to predict extubation success in prematurely born infants
Allan Jenkinson, Theodore G. Dassios, Anne Greenough. Journal of Perinatal Medicine, 2023. Cites: paper

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study
You-Qian Lee, Ching-Tai Chen, Chien-Chang Chen et al. Journal of Medical Internet Research, 2023. Cites: paper

Hyperbolic graph convolutional neural network with contrastive learning for automated ICD coding
Yuzhou Wu, Xuechen Chen, Xin Yao et al. Computers in Biology and Medicine, 2023. Cites: paper

Information Extraction from Electronic Health Records : Studies on temporal ordering, privacy and environmental impact
Nesrine Bannour. 2023. Cites: paper

A Systematic Approach Focused on Machine Learning Models for Exploring the Landscape of Physiological Measurement and Estimation Using Photoplethysmography (PPG)
Javed Alam, Mohammad Firoz Khan, Meraj Alam Khan et al. Journal of Cardiovascular Translational Research, 2023. Cites: paper

PPG2BP: An End-to-End Cuffless Blood Pressure Estimation Model Using Single Channel Photoplethysmography
Yuting Ding, Changsheng Chen, Fei Chen. IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2023. Cites: paper

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