Publications citing MIMIC-III Clinical Database Demo v1.4

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: 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

Vietnamese Electronic Medical Record Management with Text Preprocessing for Spelling Errors
Khang Tran, Thi Hong Anh Nguyen, Chau Thi Ngoc Vo et al. NAFOSTED Conference on Information and Computer Science (NICS), 2022. Cites: paper

Association between admission serum phosphate and risk of acute kidney injury in critically ill patients with rhabdomyolysis: A retrospective study based on MIMIC-Ⅲ
Tao Wen, Zhi Mao, Chao Liu et al. Injury, 2022. Cites: paper

In-sensor neural network for high energy efficiency analog-to-information conversion
Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Imon Banerjee et al. Scientific Reports, 2022. Cites: paper

Analysis of the impact of COVID-19 on the organization of liver transplantation
Marta Rosaria Marino, Eliana Raiola, Ruggero Rispo et al. International Conference on Bioinformatics and Biomedical Science (ICBBS), 2022. Cites: paper

Prediction of 30-day mortality in heart failure patients with hypoxic hepatitis: Development and external validation of an interpretable machine learning model
Run Sun, Xue Wang, Haiyan Jiang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Stroke mortality prediction based on ensemble learning and the combination of structured and textual data
Rui Huang, Jundong Liu, Tsz Kin Wan et al. Computers in Biology and Medicine, 2022. Cites: paper

Benchmarking emergency department prediction models with machine learning and public electronic health records
Feng Xie, Jun Rong Zhou, Jin Wee Lee et al. Scientific Data, 2022. Cites: paper

Common data model for COVID-19 datasets
Philipp Wegner, Geena Mariya Jose, Vanessa Lage‐Rupprecht et al. Bioinformatics, 2022. Cites: paper

Non-invasive blood pressure estimation combining deep neural networks with pre-training and partial fine-tuning
Ziyan Meng, Xuezhi Yang, Xuenan Liu et al. Physiological Measurement, 2022. Cites: paper

Competencies and Curricula Across the Spectrum of Learners for Biomedical and Health Informatics
William Hersh. Studies in health technology and informatics, 2022. Cites: paper

Deep Learning Model for Blood Pressure Estimation from PPG Signal
Minseong Kim, Hyeonjeong Lee, Kwang‐Yong Kim et al. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2022. Cites: paper

Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro. Artificial Intelligence Review, 2022. Cites: paper

Semi-Automated Approach for Building Event Logs for Process Mining from Relational Database
Jaciel David Hernandez-Resendiz, Edgar Tello-Leal, Ulises Manuel Ramirez-Alcocer et al. Applied Sciences, 2022. Cites: paper

Simulation of a machine learning enabled learning health system for risk prediction using synthetic patient data
Anjun Chen, Drake O. Chen. Scientific Reports, 2022. Cites: paper

BioKnowPrompt: Incorporating imprecise knowledge into prompt-tuning verbalizer with biomedical text for relation extraction
Qing Li, Yichen Wang, Tao You et al. Information Sciences, 2022. Cites: paper

Early prediction of patient discharge disposition in acute neurological care using machine learning
Charles F. Mickle, Debzani Deb. BMC Health Services Research, 2022. Cites: dataset

Enteral nutrition improves the prognosis and immune nutritional status of patients in the cardiothoracic surgery recovery unit: A propensity score–matched analysis
Chao Zheng, Qiyue Ge, Chao Luo et al. Clinical Nutrition, 2022. Cites: paper

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