Publications citing MIMIC-III Waveform Database v1.0

Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach
I-Min Chiu, Jhu-Yin Cheng, Tien-Yu Chen et al. Journal of Medical Internet Research, 2022. Cites: paper

DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes
Nina Zhou, Qiucheng Wu, Zewen Wu et al. Journal of Medical Systems, 2022. Cites: paper

Association of serum anion gap and risk of long‐term mortality in patients following coronary artery bypass grafting: A propensity score matching study
Diming Zhao, Yi Li, Junjie Huang et al. Journal of Cardiac Surgery, 2022. Cites: paper

Developing robust benchmarks for driving forward AI innovation in healthcare
Diana Mincu, Subhrajit Roy. Nature Machine Intelligence, 2022. Cites: paper

THE EFFECTS OF EARLY-PHASE FUROSEMIDE USE ON THE PROGRESSION OF OLIGURIC ACUTE KIDNEY INJURY ACROSS DIFFERENT CENTRAL VENOUS PRESSURE: A RETROSPECTIVE ANALYSIS
Haoquan Huang, Chuwen Hu, Yanni Fu et al. Shock, 2022. Cites: paper

Malnutrition Defined by Geriatric Nutritional Risk Index Predicts Outcomes in Severe Stroke Patients: A Propensity Score-Matched Analysis
Ying Chen, Xinguang Yang, Yingying Zhu et al. Nutrients, 2022. Cites: paper

Organ-On-A-Chip Database Revealed—Achieving the Human Avatar in Silicon
Lincao Jiang, Qiwei Li, Weicheng Liang et al. Bioengineering, 2022. Cites: paper

A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study
Mingxing Lei, Zhencan Han, Shengjie Wang et al. Injury, 2022. Cites: paper

Meta-learning for healthcare
Lan Zou. Elsevier eBooks, 2022. Cites: paper

Model-based meta-learning approaches
Lan Zou. Elsevier eBooks, 2022. Cites: paper

The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms
Nicholas I-Hsien Kuo, Mark Niccolo Polizzotto, Simon R. Finfer et al. Scientific Data, 2022. Cites: paper

Blood creatinine and urea nitrogen at ICU admission and the risk of in-hospital death and 1-year mortality in patients with intracranial hemorrhage
Hai Dong Luo, Xuanyong Yang, Kang Chen et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Identifying and analyzing sepsis states: A retrospective study on patients with sepsis in ICUs
Chih-Hao Fang, Vikram Ravindra, Salma Akhter et al. PLOS Digital Health, 2022. Cites: paper

A machine learning method for predicting the probability of MODS using only non-invasive parameters
Guanjun Liu, Jiameng Xu, Chengyi Wang et al. Computer Methods and Programs in Biomedicine, 2022. Cites: paper

A survey on syntactic processing techniques
Xulang Zhang, Rui Mao, Erik Cambria. Artificial Intelligence Review, 2022. Cites: paper

Attention spatiale artificielle pour des modèles profonds interprétables de qualité embryonnaire
Tristan Gomez. 2022. Cites: paper

Information extraction from electronic medical documents: state of the art and future research directions
Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Ben Romdhane. Knowledge and Information Systems, 2022. Cites: paper

Recent Advance in Semi-Supervised Learning for Named Entity Recognition and Potential Clinical Applications
Chengjing Luo. 2022. Cites: paper

MedBERT: A Pre-trained Language Model for Biomedical Named Entity Recognition
Charangan Vasantharajan, Kyaw Zin Tun, Thi-Nga Ho et al. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022. Cites: paper

Time interval uncertainty-aware and text-enhanced based disease prediction
Dan Yang Zhao, Yuliang Shi, Lin Cheng et al. Journal of Biomedical Informatics, 2022. Cites: paper

ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
Sangjee Park, Jun Woo Bong, Inseo Park et al. Applied Sciences, 2022. Cites: paper

Interpretable GAM Models: Predicting Sepsis in ICU Patients
Wai Kit Tsang, Dries F. Benoit. Intelligent systems reference library, 2022. Cites: paper

Classification of user queries according to a hierarchical medical procedure encoding system using an ensemble classifier
Yihan Deng, Kerstin Denecke. Frontiers in Artificial Intelligence, 2022. Cites: paper

Multimodal Representation Learning For Real-World Applications
Abhinav Joshi. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2022. Cites: paper

Recent Advance in Semi-Supervised Learning for Named Entity Recognition and Potential Clinical Applications
Chengjing Luo. 2022. Cites: paper

Relationship between mean corpuscular volume and 30-day mortality in patients with intracerebral hemorrhage: Evidence from the MIMIC-III database
Lu Zhang, Jiahui Yin, Haiyang Sun et al. Medicine, 2022. Cites: paper

A Visualization and Benchmarking Simulator for Clinical Data
Marlies Morgen, Lejla Begic Fazlic, Arne Peine et al. Studies in health technology and informatics, 2022. Cites: paper

Development and Implementation of the Data Science Learning Platform for Research Physician
Lejla Begic Fazlic, Marvin Schacht, Marlies Morgen et al. Studies in health technology and informatics, 2022. Cites: paper

Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children
Sarah B. Walker, Colleen M. Badke, Michael S. Carroll et al. Pediatric Research, 2022. Cites: paper

Rethink Deep Learning for Clinical Natural Language Processing: Challenges and Opportunities
Chengjing Luo. 2022. Cites: paper

Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning
Markus Böck, Julien Malle, Daniel Pasterk et al. PLoS ONE, 2022. Cites: paper

A Method to Explore Variations of Ventilator-Associated Event Surveillance Definitions in Large Critical Care Databases in the United States
An-Kwok Ian Wong, Han Kim, Marie‐Laure Charpignon et al. Critical Care Explorations, 2022. Cites: paper

Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use
Jingqing Zhang, Luis Bolanos Trujillo, Ashwani Tanwar et al. BMJ Health & Care Informatics, 2022. Cites: paper

Combining the anion gap with the sequential organ failure assessment score to evaluate the short-term prognosis of patients in the cardiac intensive care unit
Yuanhang Zhou, Shuo Pang, Guangrui Miao et al. International Journal of Cardiology, 2022. Cites: paper

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.
Ran Xu, Yue Shuang Yu, Chao Zhang et al. PubMed, 2022. Cites: paper

Deep Stable Representation Learning on Electronic Health Records
Yingtao Luo, Zhaocheng Liu, Qiang Liu. Proceedings, 2022. Cites: paper

European Clinical Case Corpus
Bernardo Magnini, Begoña Altuna, Alberto Lavelli et al. Cognitive technologies, 2022. Cites: paper

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit
Xianli Zhang, Buyue Qian, Yang Li et al. Proceedings, 2022. Cites: paper

Model Personalization with Static and Dynamic Patients' Data
Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev et al. IEEE ... International Conference on Data Mining workshops, 2022. Cites: paper

Mortality Prediction and Safe Drug Recommendation for Critically-ill Patients
Panagiotis Symeonidis, Θεόδωρος Κωστούλας, Vasiliki Danilatou et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2022. Cites: paper

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
Yuanying Cai, Chuheng Zhang, Li Zhao et al. Proceedings, 2022. Cites: paper

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets
Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch et al. Frontiers in Big Data, 2022. Cites: paper

Applying an Improved Stacking Ensemble Model to Predict the Mortality of ICU Patients with Heart Failure
Chih‐Chou Chiu, Chung-Min Wu, Te-Nien Chien et al. Journal of Clinical Medicine, 2022. Cites: paper

Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis
Ri Ning Tang, Shuyi Zhang, Chenling Ding et al. Journal of Medical Internet Research, 2022. Cites: paper

Association Discovery from Electronic Medical Records towards Personalized Treatment
Chau Thi Ngoc Vo, Tru Hoang Cao. NAFOSTED Conference on Information and Computer Science (NICS), 2022. Cites: paper

CATNet: Cross-event attention-based time-aware network for medical event prediction
Sicen Liu, Xiaolong Wang, Yang Xiang et al. Artificial Intelligence in Medicine, 2022. Cites: paper

Classifying sepsis from photoplethysmography
Sara Lombardi, Petri Partanen, Piergiorgio Francia et al. Health Information Science and Systems, 2022. Cites: dataset, paper

Hypertension Classification Using PPG Signals
Yeşim Hekim Tanç, Mahmut Öztürk. Medical Technologies Congress (TIPTEKNO), 2022. Cites: paper

Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units
Sora Kang, Chul Park, Jinseok Lee et al. Healthcare Informatics Research, 2022. Cites: paper

Cited by