Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Enriching large language models with semantic lexicons and analogies
Georgios Zervakis. 2023. Cites: paper

Prediction of acute hypertensive episodes in critically ill patients
Nevo Itzhak, Itai M. Pessach, Robert Moskovitch. Artificial Intelligence in Medicine, 2023. Cites: paper

PubSub-ML: A Model Streaming Alternative to Federated Learning
Lovedeep Gondara, Ke Wang. Proceedings on Privacy Enhancing Technologies, 2023. Cites: paper

WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset
Daniel Miller, Gurpreet Singh Dhillon, Nicholas Bambos C et al. Scientific Data, 2023. Cites: paper

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble
Ruiqing Ding, Yu Zhou, Xu Jie et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Unsupervised EHR ‐based phenotyping via matrix and tensor decompositions
Florian Becker, Age K. Smilde, Evrim Acar. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2023. Cites: paper

A Review of Deep Learning Methods for Automated Clinical Coding
Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli B. International Conference on Computer and Automation Engineering, 2023. Cites: paper

Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome
Robert Y. Lee, Erin K. Kross, Janaki Torrence et al. JAMA Network Open, 2023. Cites: paper

Impact of atrial fibrillation on the accuracy of oscillometric blood pressure monitoring in ICU patients from a large real-world database
Yuxi Li, Beining Wang, Fangfang Fan et al. Journal of Hypertension, 2023. Cites: paper

Impact of macrolide treatment on long-term mortality in patients admitted to the ICU due to CAP: A targeted maximum likelihood estimation and survival analysis
Luis Felipe Reyes, Esteban Garcia, Elsa Daniela Ibañez-Prada et al. Research Square, 2023. Cites: paper

A hybrid deep learning approach for phenotype prediction from clinical notes
Sahar Khalafi, Nasser Ghadiri, Milad Moradi. Journal of Ambient Intelligence and Humanized Computing, 2023. Cites: paper

Albumin Level is Associated with Short-Term and Long-Term Outcomes in Sepsis Patients Admitted in the ICU: A Large Public Database Retrospective Research
Yan Cao, Yingjie Su, Cuirong Guo et al. Clinical Epidemiology, 2023. Cites: paper

HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets
Jia-Hao Syu, Jerry Chun‐Wei Lin, Marcin Fojcik et al. Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023. Cites: paper

PaCO2 Levels at Admission Influence the Prognosis of Sepsis Patients: A Nonlinear Relationship
Zhongkai Qu, Yan Ye, Fang Li et al. Journal of Translational Critical Care Medicine, 2023. Cites: paper

Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning
Chao Yu, Qikai Huang. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Integrating Structured and Unstructured EHR Data for Predicting Mortality by Machine Learning and Latent Dirichlet Allocation Method
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien et al. International Journal of Environmental Research and Public Health, 2023. Cites: paper

Automated ICD coding for coronary heart diseases by a deep learning method
Shuai Zhao, Xiaolin Diao, Yun Xia et al. Heliyon, 2023. Cites: paper

Strategies of Predictive Schemes and Clinical Diagnosis for Prognosis Using MIMIC-III: A Systematic Review
Sarika R. Khope, Susan Elias. Healthcare, 2023. Cites: paper

Survey on the Biomedical Text Summarization Techniques with an Emphasis on Databases, Techniques, Semantic Approaches, Classification Techniques, and Similarity Measures
Dipti Pawar, Shraddha Phansalkar, Abhishek Sharma et al. Sustainability, 2023. Cites: paper

Synthetic data generation: State of the art in health care domain
Hajra Murtaza, Musharif Ahmed, Naurin Farooq Khan et al. Computer Science Review, 2023. Cites: paper

Correlating contexts and NFR conflicts from event logs
Mandira Roy, Souvick Das, Novarun Deb et al. Software & Systems Modeling, 2023. Cites: paper

A deep learning system for heart failure mortality prediction
Dengao Li, Jian Fu, Jumin Zhao et al. PLoS ONE, 2023. Cites: paper

Improving Clinical Decision Making with a Two-Stage Recommender System: A Case Study on MIMIC-III Dataset
Shaina Raza. medRxiv, 2023. Cites: paper

Outcomes and predictors of delayed endoscopic biliary drainage for severe acute cholangitis due to choledocholithiasis in an intensive care unit
Abdellah Hedjoudje, Chérifa Cheurfa, Mohamed Et Talby et al. Digestive and Liver Disease, 2023. Cites: paper

Prognostic value of C-reactive protein to albumin ratio for mortality in acute kidney injury
Baohua Liu, Dezhao Lv. BMC Nephrology, 2023. Cites: paper

Buckley–James estimation of generalized additive accelerated lifetime model with ultrahigh‐dimensional data
Zichang Li, Xuejing Zhao. Statistical Analysis and Data Mining The ASA Data Science Journal, 2023. Cites: paper

Could an artificial intelligence approach to prior authorization be more human?
Leslie Andrew Lenert, Steven Lane, Ramsey M. Wehbe. Journal of the American Medical Informatics Association, 2023. Cites: paper

Pre-training in Medical Data: A Survey
Yixuan Qiu, Feng Lin, Weitong Chen et al. Machine Intelligence Research, 2023. Cites: paper

The impact of inconsistent human annotations on AI driven clinical decision making
Aneeta Sylolypavan, Derek H. Sleeman, Honghan Wu et al. npj Digital Medicine, 2023. Cites: paper

A New Risk Model based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit
Peng Yan, Siwan Huang, Ye Li et al. Current Pharmaceutical Biotechnology, 2023. Cites: paper

Blood pressure stratification using photoplethysmography and light gradient boosting machine
Xudong Hu, Shimin Yin, Xizhuang Zhang et al. Frontiers in Physiology, 2023. Cites: paper

Explainable clinical coding with in-domain adapted transformers
Guillermo López-García, Jose Manuel Jerez, Nuria Ribelles et al. Journal of Biomedical Informatics, 2023. Cites: paper

Interpretable machine learning models for predicting in-hospital death in patients in the intensive care unit with cerebral infarction
Yang Ouyang, Meng Cheng, Bingqing He et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Photoplethysmography Signal Wavelet Enhancement and Novel Features Selection for Non-Invasive Cuff-Less Blood Pressure Monitoring
Filippo Attivissimo, Luisa De Palma, Attilio Di Nisio et al. Sensors, 2023. Cites: paper

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease
Stephanie Paige Goldstein, Alison Tovar, Hallie Espel‐Huynh et al. Psychosomatic Medicine, 2023. Cites: paper

Multitask deep label distribution learning for blood pressure prediction
Keke Qin, Wu Xin Huang, Tao Zhang. Information Fusion, 2023. Cites: paper

Advancements in extracting social determinants of health information from narrative text
Kevin Lybarger, Oliver J. Bear Don’t Walk, Meliha Yetişgen et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning
José A. González‐Nóvoa, Silvia Campanioni, Laura Busto et al. International Journal of Environmental Research and Public Health, 2023. Cites: paper

Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak et al. Diagnostics, 2023. Cites: paper

Recurrent neural network for complex survival problems
Pius Marthin, Nihal Ata Tutkun. Journal of Statistical Computation and Simulation, 2023. Cites: paper

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma
Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane et al. Journal of Imaging Informatics in Medicine, 2023. Cites: paper

How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning
Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren et al. Research Square, 2023. Cites: paper

Minimum heart rate and mortality after cardiac surgery: retrospective analysis of the Multi-parameter Intelligent Monitoring in Intensive Care (MIMIC-III) database
Chaodi Luo, Zhenzhen Duan, Ziheng Xia et al. Scientific Reports, 2023. Cites: paper

Patient Mortality Prediction and Analysis of Health Cloud Data Using a Deep Neural Network
Abdullah Alourani, Kinza Tariq, Muhammad Tahir et al. Applied Sciences, 2023. Cites: paper

A Bayesian method for the automatic extraction of meaningful clinical sequences from large clinical databases
Aashara Shrestha, Dimitrios Zikos, Leonidas Fegaras et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Analysis of risk factors for severe acute kidney injury in patients with acute myocardial infarction: A retrospective study
Yuxin Nong, Xuebiao Wei, Hongrui Qiu et al. Frontiers in Nephrology, 2023. Cites: paper

Clinical Natural Language Processing for Japanese: Challenges and Opportunities
Judai Yuki. 2023. Cites: paper

Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention
Zhangdaihong Liu, Ying Hu, Xuan Wu et al. IEEE Transactions on Biomedical Engineering, 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

Cited by