Publications citing MIMIC-III Waveform Database v1.0

A Review of Noninvasive Methodologies to Estimate the Blood Pressure Waveform
Tasbiraha Athaya, Sunwoong Choi. Sensors, 2022. Cites: paper

Attempting cardiac arrest prediction using artificial intelligence on vital signs from Electronic Health Records
Bassel Soudan, Fetna F. Dandachi, Ali Bou Nassif. Smart Health, 2022. Cites: paper

Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS)
Chadi Barakat, Sebastian Johannes Fritsch, Konstantin Sharafutdinov et al. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2022. Cites: paper

ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets
Yasamin Salimi, Daniel Domingo‐Fernándéz, Carlos Bobis-Álvarez et al. Alzheimer s Research & Therapy, 2022. Cites: paper

Increase in chloride from baseline is independently associated with mortality in intracerebral hemorrhage patients admitted to intensive care unit: A retrospective study
Dawei Zhou, Tong Li, Dong Zhao et al. Journal of Intensive Medicine, 2022. Cites: paper

Construction of heterogeneous medical knowledge graph from electronic health records
R. Mythili, N. Parthiban, V. Kavitha. Journal of Discrete Mathematical Sciences and Cryptography, 2022. Cites: paper

The Value of SII in Predicting the Mortality of Patients with Heart Failure
Miao Yuan, Fuxian Ren, Dengfeng Gao. Disease Markers, 2022. Cites: paper

Exploring Physician Perspectives on Using Real-world Care Data for the Development of Artificial Intelligence–Based Technologies in Health Care: Qualitative Study
Martina Kamradt, Regina Poß-Doering, Joachim Szécsényi. JMIR Formative Research, 2022. Cites: paper

Machine learning based algorithms to impute PaO2 from SpO2 values and development of an online calculator
Shuangxia Ren, Jill Zupetic, Mohammadreza Tabary et al. Scientific Reports, 2022. Cites: paper

Medical concept integrated residual short‐long temporal convolutional networks for predicting clinical events
Jie Min Yang, Hong Wang. Concurrency and Computation Practice and Experience, 2022. Cites: paper

Associated factors and short-term mortality of early versus late acute kidney injury following on-pump cardiac surgery
Shengnan Li, Ming Liu, Xiang Liu et al. Interactive Cardiovascular and Thoracic Surgery, 2022. Cites: paper

Deep Neural Networks for Dynamic Attribute based Encryption in IoT-Fog Environment
Mohit Talreja, M Pruthvi Taranath, Hrushikesh Shanware et al. International Conference on Communications, 2022. Cites: paper

Frequency Hopping Sequence Determination Using Inter-Pulse Interval for Human Body Interface and Control Systems
Donpiti Chulerttiyawong, Abbas Jamalipour. International Conference on Communications, 2022. Cites: paper

Heterogeneous Multi-Task Learning With Expert Diversity
Raquel Aoki, Frederick Tung, Gabriel Leivas Oliveira. IEEE Transactions on Computational Biology and Bioinformatics, 2022. Cites: paper

Linezolid induced thrombocytopenia in critically ill patients: Risk factors and development of a machine learning-based prediction model
Iván Maray, Adrián Rodríguez-Ferreras, Cristina Álvarez-Asteinza et al. Journal of Infection and Chemotherapy, 2022. Cites: paper

Machine learning for the prediction of acute kidney injury in patients with sepsis
Suru Yue, Shasha Li, Xueying Huang et al. Journal of Translational Medicine, 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

Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning
Junwei Wu, Chao Liu, Lixin Xie et al. BMC Pulmonary Medicine, 2022. Cites: paper

External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients
Francesca Alfieri, Andrea Ancona, Giovanni Luigi Tripepi et al. Journal of Nephrology, 2022. Cites: paper

Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost
X. Wang, Tianqi Zhu, Minghong Xia et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Non-invasive detection of coronary artery disease from photoplethysmograph using lumped parameter modelling
Ashutosh Kumar Dash, Karan Jain, Nirmalya Ghosh et al. Biomedical Signal Processing and Control, 2022. Cites: paper

BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports
Grey Kuling, Belinda N. Curpen, Anne Louise Martel. Journal of Imaging, 2022. Cites: paper

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani et al. Frontiers in Public Health, 2022. Cites: paper

Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke
Matthew I. Miller, Agni Orfanoudaki, Michael Cronin et al. Neurocritical Care, 2022. Cites: paper

Machine Learning Models for Early Prediction of Sepsis on Large Healthcare Datasets
Javier Enrique Camacho-Cogollo, Isis Bonet, Bladimir Gil et al. Electronics, 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

Machine Learning for Prediction of Outcomes in Cardiogenic Shock
Fangning Rong, Huaqiang Xiang, Qian Lü et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

NEAR: Named entity and attribute recognition of clinical concepts
Namrata Nath, Sang‐Heon Lee, Ivan Lee. Journal of Biomedical Informatics, 2022. Cites: paper

Pharmacokinetic/pharmacodynamic-guided gentamicin dosing in critically ill patients: a revisit of the Hartford nomogram
Sha He, Zeneng Cheng, Feifan Xie. International Journal of Antimicrobial Agents, 2022. Cites: paper

Preliminary exploration of topic modelling representations for Electronic Health Records coding according to the International Classification of Diseases in Spanish
Nuria Lebeña, Alberto Blanco, Alicia Pérez et al. Expert Systems with Applications, 2022. Cites: paper

Avaliação de Desempenho do Blockchain Hyperledger Fabric com Dados Médicos Heterogêneos
Ana Caroline Fernandes Spengler. 2022. Cites: paper

Modern Learning from Big Data in Critical Care: Primum Non Nocere
Benjamin Yaël Gravesteijn, Ewout Willem Steyerberg, Hester Floor Lingsma. Neurocritical Care, 2022. Cites: paper

Novel methods of predicting ionized calcium status from routine data in critical care: External validation in MIMIC-III
Ernie Yap, Jie Ouyang, Isha Puri et al. Clinica Chimica Acta, 2022. Cites: paper

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Yan Jia, John A. McDermid, Tom Lawton et al. IEEE Transactions on Emerging Topics in Computing, 2022. Cites: paper

A Decision-Making System with Reject Option for Atrial Fibrillation Prediction Without ECG Signals
M. Mroueh, Daniel Alshamaa, Farah Mourad-Chehade et al. IRBM, 2022. Cites: paper

Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery
Ye Liu, Haoming Shi, Xiaowen Wang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Establishing best practices in photoplethysmography signal acquisition and processing
Peter H Charlton, Kristjan Pilt, P. A. Kyriacou. Physiological Measurement, 2022. Cites: paper

Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi et al. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference, 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

Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features
Shuhui Liu, Bo Fu, Wen Wang et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery
Yue Shuang Yu, Chi Peng, Zhiyuan Zhang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

MatSciBERT: A materials domain language model for text mining and information extraction
Tanishq Gupta, Mohd Faiz Mohammad Zaki, N. M. Anoop Krishnan et al. npj Computational Materials, 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

Prediction of unplanned 30-day readmission for ICU patients with heart failure
Maryam Pishgar, Julian Theis, M Del Rios et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

A Federated Approach for Learning from Electronic Health Records
Sadaf Md Halim, Latifur R. Khan, Kevin W. Hamlen et al. IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS), 2022. Cites: paper

Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate, Yuan Luo. Drug Safety, 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

Developing and validating a prediction model for in-hospital mortality in patients with ventilator-associated pneumonia in the ICU
Xiang Han, Weiqin Wu, Hongmei Zhao et al. Annals of Palliative Medicine, 2022. Cites: paper

Development and validation of a machine-learning model for prediction of hypoxemia after extubation in intensive care units
Ming Xia, Chenyu Jin, Shuang Cao et al. Annals of Translational Medicine, 2022. Cites: paper

ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics
Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi et al. IEEE International Conference on Data Engineering (ICDE), 2022. Cites: paper

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