Publications citing MIMIC-III Waveform Database v1.0

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review
Sobhan Moazemi, Sahar Vahdati, Jason Li et al. Frontiers in Medicine, 2023. Cites: paper

Federated Learning Study using Motion Recognition Model based on Joint Data
Jun Bang, Seongeun Hong, Sukhwan Jeon et al. The Journal of Korean Institute of Information Technology, 2023. Cites: paper

An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application
Zeynep İlhan Taşkın, Kasırga Yıldırak, Çağdaş Hakan Aladağ. Journal Of Big Data, 2023. Cites: paper

Association between red blood cell distribution width and all-cause mortality in unselected critically ill patients: Analysis of the MIMIC-III database
Shixuan Peng, Wenxuan Li, Weiqi Ke. Frontiers in Medicine, 2023. Cites: paper

Data augmentation and generation for natural language processing
Hugo Boulanger. 2023. Cites: paper

Impact of translation on biomedical information extraction from real-life clinical notes
Christel Gérardin, Yuhan Xiong, Perceval Wajsbürt et al. Research Square, 2023. Cites: paper

Machine learning algorithm to predict mortality in critically ill patients with sepsis-associated acute kidney injury
Xunliang Li, Ruijuan Wu, Wenman Zhao et al. Scientific Reports, 2023. Cites: paper

Using language models and ontology topology to perform semantic mapping of traits between biomedical datasets
Yi Liu, Benjamin Elsworth, Tom R. Gaunt. Bioinformatics, 2023. Cites: paper

Predicting the Early Incidence and Stratification of Acute Respiratory Distress Syndrome (Ards) Using Alveolar-Arterial Oxygen Partial Pressure Difference (Aado2): A Retrospective Study from the Mimic-Iv Database
Chansokhon Ngan, Thongher Lia, Mingchun Wang et al. Research Square, 2023. Cites: paper

timeseriesflattener: A Python package for summarizing features from (medical) time series
Martin Bernstorff, Kenneth Enevoldsen, Jakob Grøhn Damgaard et al. The Journal of Open Source Software, 2023. Cites: paper

Effect of β-blockers on mortality in patients with sepsis: A propensity-score matched analysis
Chenglong Ge, Lina Zhang, Yuhang Ai et al. Frontiers in Cellular and Infection Microbiology, 2023. Cites: paper

Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records
Ashish Sarraju, Alban Zammit, Summer Ngo et al. Journal of the American Heart Association, 2023. Cites: paper

Serum Lactate-Albumin Ratio: Soothsayer for Outcome in Sepsis
Ruchita Kabra, Sourya Acharya, Samarth Shukla et al. Cureus, 2023. Cites: paper

The NUTRIC Score as a Tool to Predict Mortality and Increased Resource Utilization in Intensive Care Patients with Sepsis
Marek Wełna, Barbara Adamik, Andrzej Kübler et al. Nutrients, 2023. Cites: paper

Data drift in medical machine learning: implications and potential remedies
Berkman Sahiner, Weijie Chen, Ravi K. Samala et al. British Journal of Radiology, 2023. Cites: paper

Understanding the opportunity and application of synthetic data in healthcare
Adam B Wilcox. Paediatric and Perinatal Epidemiology, 2023. Cites: paper

Aspirin Therapy and 28-Day Mortality in ICU Patients: A Retrospective Observational Study From Two Large Databases
Luhao Wang, Bin Li, Lingyun Zuo et al. Clinical Therapeutics, 2023. Cites: paper

Cuff-Less Blood Pressure Prediction Based on Photoplethysmography and Modified ResNet
Caijie Qin, Yong Li, Chibiao Liu et al. Bioengineering, 2023. Cites: paper

Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching
Jiayi Yuan, Tang, Ruixiang, Xiaoqian Jiang et al. PubMed, 2023. Cites: paper

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
Meikun Ma, Xiaoyan Hao, Jumin Zhao et al. Medical & Biological Engineering & Computing, 2023. Cites: paper

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding et al. PubMed, 2023. Cites: paper

CPAE: Contrastive predictive autoencoder for unsupervised pre-training in health status prediction
Shuying Zhu, Weizhong Zheng, Herbert Pang. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Data processing pipeline for cardiogenic shock prediction using machine learning
Nikola Jajcay, Branislav Bezák, Amitai Segev et al. Frontiers in Cardiovascular Medicine, 2023. Cites: paper

Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes
Siyi Gu, Eric Wonhee Lee, Wenhui Zhang et al. CIN Computers Informatics Nursing, 2023. Cites: paper

Anaemia in the first week may be associated with long-term mortality among critically ill patients: propensity score-based analyses
I-Hung Lin, Pei-Ya Liao, Li-Ting Wong et al. BMC Emergency Medicine, 2023. Cites: paper

El método del factor de Bayes en el análisis de la energía mecánica en pacientes con insuficiencia respiratoria grave por SARS-CoV-2
Alejandro González-Castro, Vicent Modesto i Alapont, Elena Cuenca Fito et al. Medicina Intensiva, 2023. Cites: paper

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation
Yushan Jiang, Wenchao Yu, Dongjin Song et al. Conference on Information Sciences and Systems, 2023. Cites: paper

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things
Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Narhimène Boustia. Applied Soft Computing, 2023. Cites: paper

Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
Richard Tarbell, Kim‐Kwang Raymond Choo, Glenn B. Dietrich et al. PubMed, 2023. Cites: paper

Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis
Ming-Yen Lin, Yuan‐Ming Chang, Chi-Chun Li et al. Healthcare, 2023. Cites: paper

A Machine Learning Approach to the Non-Invasive Estimation of Continuous Blood Pressure Using Photoplethysmography
Basheq Tarifi, Aaron Fainman, Adam Pantanowitz et al. Applied Sciences, 2023. Cites: paper

Applications of artificial intelligence in clinical management, research, and health administration: imaging perspectives with a focus on hemophilia
Andrea Schwarz Doria. Expert Review of Hematology, 2023. Cites: paper

Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery
Molly J. Douglas, Rachel A. Callcut, Leo Anthony Celi et al. Surgical Clinics of North America, 2023. Cites: paper

Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
Emran Al Bashabsheh, Ahmad Alaiad, Mahmoud Al‐Ayyoub et al. The Journal of Supercomputing, 2023. Cites: paper

Review of Natural Language Processing in Pharmacology
Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva et al. Pharmacological Reviews, 2023. Cites: paper

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders
Natalie K. Fitzpatrick, Richard Dobson, Angus Roberts et al. JMIR Medical Informatics, 2023. Cites: paper

Association between admission systemic immune-inflammation index and mortality in critically ill patients with sepsis: a retrospective cohort study based on MIMIC-IV database
Daishan Jiang, Tingting Bian, Yanbo Shen et al. Clinical and Experimental Medicine, 2023. Cites: paper

Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide
Xiang Yu, Rilige Wu, Yuwei Ji et al. Frontiers in Public Health, 2023. Cites: paper

A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning
Evans Kotei, Ramkumar Thirunavukarasu. Information, 2023. Cites: paper

Trends and opportunities in computable clinical phenotyping: A scoping review
Ting He, Anas Belouali, Jessica Patricoski et al. Journal of Biomedical Informatics, 2023. Cites: paper

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Nora Mahmoud El-Rashidy, Ahmed Sedik, Ali I. Siam et al. Neural Computing and Applications, 2023. Cites: paper

Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems
Markus Kreuzthaler, Mathias Brochhausen, Cilia E. Zayas et al. Frontiers in Medicine, 2023. Cites: paper

Targeted optimal treatment regime learning using summary statistics
J Chu, Wenbin Lu, Shu Yang. Biometrika, 2023. Cites: paper

Co-design of Human-centered, Explainable AI for Clinical Decision Support
Cecilia Panigutti, Andrea Beretta, Daniele Fadda et al. ACM Transactions on Interactive Intelligent Systems, 2023. Cites: paper

Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition
Russell Richie, Victor M Ruiz, Sifei Han et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Survey on Autonomous Medical Diagnosis Tools
R. Akiladevi, S Shrijeeth, Saathvik Krishnan et al. International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023. Cites: paper

A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge
Hyun Joo Kim, S. Jayakumar Venkat, Hyoung Woo Chang et al. Biomimetics, 2023. Cites: paper

Machine-aided PPG Signal Quality Assessment (SQA) for Multi-mode Physiological Signal Monitoring
Win-Ken Beh, Yu-Chia Yang, Yi-Cheng Lo et al. ACM Transactions on Computing for Healthcare, 2023. Cites: paper

Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
Kilian Merkelbach, Steffen Schaper, Christian Diedrich et al. Scientific Reports, 2023. Cites: paper

Applications of Artificial Intelligence in Thrombocytopenia
Amgad Mohammed Elshoeibi, Khaled Ferih, Ahmed Adel Elsabagh et al. Diagnostics, 2023. Cites: paper

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