Publications citing MIMIC-II Clinical Database v2.6.0

Feature Selection Under Budget Constraint in Medical Applications: Analysis of Penalized Empirical Risk Minimization Methods
Tomasz Klonecki, Paweł Teisseyre. Applied Intelligence, 2022. Cites: paper

Heart blockage
Anirban Dutta Choudhury, Rohan Banerjee, Sanjay Kimbahune et al. Elsevier eBooks, 2022. Cites: paper

Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation
Yunseob Shin, Yunwon Tae, Yeha Lee. IEEE Access, 2022. Cites: paper

Machine Learning Predicts Mortality Risk in Different Periods for Acute Kidney Injury Patients after Commencing Continuous Renal Replacement Therapy
Ning Li, Xingyu Zhu, Yi Wang et al. SSRN Electronic Journal, 2022. Cites: paper

Predictive Analysis of Clinical Outcomes Using an Enhanced Random Survival Forest for Heart Failure Patients
E. Laxmi Lydia, Karthikeyan Kaliyaperumal, G. Jose Moses. Lecture notes on data engineering and communications technologies, 2022. Cites: paper

Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal
Talha Ibn Mahmud, Sheikh Asif Imran, Celia Shahnaz. IEEE Journal of Translational Engineering in Health and Medicine, 2022. Cites: paper

Supporting Patient Nutrition in Critical Care Units
Kamran Soomro, Elias Pimenidis, Chris McWilliams. Communications in computer and information science, 2022. Cites: paper

AMMU: A survey of transformer-based biomedical pretrained language models
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha. Journal of Biomedical Informatics, 2021. Cites: paper

Medical devices and medical systems—Essential safety and performance requirements for equipment comprising the patient-centric integrated clinical environment (ICE): Part 2-1: Particular requirements for forensic data logging
2021. Cites: paper

Development of a Lexicon for Pain
Jaya Chaturvedi, Aurelie Mascio, Sumithra U. Velupillai et al. Frontiers in Digital Health, 2021. Cites: paper

On Missingness Features in Machine Learning Models for Critical Care: Observational Study
Janmajay Singh, Masahiro Sato, Tomoko Ohkuma. JMIR Medical Informatics, 2021. Cites: paper

Hidden in Plain Sight: Clinical Informaticians are the Oncology Subspecialists You Did Not Know You Needed
Eugene Kim, Danielle S. Bitterman, Benjamin Harris Kann et al. Clinical Oncology, 2021. Cites: paper

Developing and verifying a multivariate model to predict the survival probability after coronary artery bypass grafting in patients with coronary atherosclerosis based on the MIMIC-III database
Chengzhuo Li, Fengshuo Xu, Didi Han et al. Heart & Lung, 2021. Cites: paper

Prognostic value of the albumin-bilirubin score in critically ill patients with heart failure
Yanting Luo, Zexiong Li, Jinlai Liu et al. Annals of Palliative Medicine, 2021. Cites: paper

A CNN Model for cuffless Blood Pressure Estimation from Nonlinear Characteristics of PPG Signals
Naeem Eslamyeh, Seyede Zohreh Sadredini, Mohammad Bagher Khodabakhshi. National and International Iranian Conference on Biomedical Engineering (ICBME), 2021. Cites: paper

Cuff-Less Blood Pressure Estimation From Photoplethysmography via Visibility Graph and Transfer Learning
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
Tanish Tyagi, Colin Magdamo, Ayush Noori et al. arXiv (Cornell University), 2021. Cites: paper

Blood Pressure and Heart Rate Measurements Using Photoplethysmography with Modified LRCN
Samih M. Mostafa, Sahar Ahmed Idris, Manjit Kaur. Computers, materials & continua/Computers, materials & continua (Print), 2021. Cites: paper

Design and validation of a respiratory rate estimation algorithm based on photoplethysmography (PPG) signal
Fernando Icazatti, Carlos Rubén Dell’Aquila, Eric Laciar. Workshop on Information Processing and Control, 2021. Cites: paper

Machine learning methods as a tool for diagnostic and prognostic research in cardiovascular disease
Charos Khidirova, Shakhnoza Sadikova, Shamil Mukhsinov et al. International Conference on Information Science and Communications Technologies (ICISCT), 2021. Cites: paper

Arrhythmia detection and classification using ECG and PPG techniques: a review
Neha Neha, Harish Kumar Sardana, R. Kanwade et al. Physical and Engineering Sciences in Medicine, 2021. Cites: paper

Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing
Daniel McDuff, Xin Liu, Javier Hernandez et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Respiratory Rate Estimations using Three Respiratory-Induced Variations on Photoplethysmogram
Nurafifah Fikriastuti, Habibur Muhaimin. 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
Didi Han, Fengshuo Xu, Chengzhuo Li et al. Emergency Medicine International, 2021. Cites: paper

Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Melissa Y. Yan, Lise Tuset Gustad, Øystein Nytrø A. Journal of the American Medical Informatics Association, 2021. Cites: paper

A scoping review of artificial intelligence applications in thoracic surgery
Kenneth Patrick Seastedt, Dana Moukheiber, Saurabh Mahindre et al. European Journal of Cardio-Thoracic Surgery, 2021. Cites: paper

Personalized Online Machine Learning
Ivana Malenica, Rachael V. Phillips, Romain Pirracchio et al. arXiv (Cornell University), 2021. Cites: paper

Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks
Juan Cheng, Yufei Xu, Rencheng Song et al. Computers in Biology and Medicine, 2021. Cites: paper

Using Restricted Cubic Splines to Study the Trajectory of Systolic Blood Pressure in the Prognosis of Acute Myocardial Infarction
Shuai Zheng, Fengzhi Zhao, Rui Yang et al. Frontiers in Cardiovascular Medicine, 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 Claes 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

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