Publications citing MIMIC-III Waveform Database v1.0

Generalisability of AI-based scoring systems in the ICU: a systematic review and meta-analysis
Patrick Rockenschaub, Ela Marie Z. Akay, Benjamin Gregory Carlisle et al. medRxiv, 2023. Cites: paper

Development and validation of a prediction model for in-hospital death in patients with heart failure and atrial fibrillation
Meiyu Yan, Huizhu Liu, Qunfeng Xu et al. BMC Cardiovascular Disorders, 2023. Cites: paper

Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters
Fan Zhang, Hao Wang, Li-Yu Daisy Liu et al. BMC Infectious Diseases, 2023. Cites: paper

MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning
Chang Shu, Yi Zhu, Xiaochu Tang et al. Expert Systems with Applications, 2023. Cites: paper

A Data-Driven Approach for Stylolite Detection
Jianzhong Cheng, Bohao He, Roland Nicholas Horne. SPE Annual Technical Conference and Exhibition, 2023. Cites: paper

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data
Dimitrios Proios, Anthony Yazdani, Alban Bornet et al. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2023. Cites: paper

Non-Invasive Blood Pressure Sensing via Machine Learning
Filippo Attivissimo, Vito Ivano D’Alessandro, Luisa De Palma et al. Sensors, 2023. Cites: paper

Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams
Arash Pakbin, Zhale Nowroozilarki, Donald Lee et al. Wearable and Implantable Body Sensor Networks, 2023. Cites: paper

The impact of imputation quality on machine learning classifiers for datasets with missing values
Tolou Shadbahr, Michael T. Roberts, Jan Stanczuk et al. Communications Medicine, 2023. Cites: paper

The relationship between albumin corrected anion gap levels and mortality in patients with asthma in the ICU
Shidong Wang, Hong Teng, Hongyan Han et al. Scientific Reports, 2023. Cites: paper

Automated Extraction and Classification of Drug Prescriptions in Electronic Health Records: Introducing the PRESNER Pipeline
Cristobal Colón-Ruíz, Tomas W. Fitzgerald, Isabel Segura-Bédmar et al. medRxiv, 2023. Cites: paper

Exploring the Reconstruction of Electrocardiograms from Photoplethysmograms via Deep Learning
David. A. Cerda-Dávila, Bersaín A. Reyes. IEEE EMBS R9 Conference, 2023. Cites: paper

PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis
Ying An, Guanglei Cai, Xianlai Chen et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

A Novel Nomogram based on Hemodynamic Monitoring for Predicting Survival of Patients with Acute Myocardial Infarction: An Analysis Based on the MIMIC-III Database.
Shuwan Xu, Junping Li, Jiyi Yao et al. Research Square, 2023. Cites: paper

Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative
Sayan Sarkar, Aayushman Ghosh, Jayant Kalra. Computers in Biology and Medicine, 2023. Cites: paper

BOLD: Blood-gas and Oximetry Linked Dataset – Open Source Research
João Carlos Ramos Gonçalves de Matos, Tristan Struja, Jack Gallifant et al. medRxiv, 2023. Cites: paper

Integrating Medication Recommendation and Lab Test Response Prediction for Enhanced Clinical Decision Support
Suman Bhoi, Mong Li Lee, Wynne Hsu et al. Proceedings of the AAAI Symposium Series, 2023. Cites: paper

Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome
Shuxing Wei, Yongsheng Zhang, Hongmeng Dong et al. BMC Pulmonary Medicine, 2023. Cites: paper

Medical Profile Model: Scientific and Practical Applications in Healthcare
Pavel Dmitrievich Blinov, Vladimir Kokh. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

SGIR: Star Graph-Based Interaction for Efficient and Robust Multimodal Representation
Zhiwei Ding, Guilin Lan, Yanzhi Song et al. IEEE Transactions on Multimedia, 2023. Cites: paper

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Yuanhong Chen, Fengbei Liu, Hu Wang et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs
Kakit Chio, Wenhao Zhu, Lihua He et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2023. Cites: paper

Hypoxemia Trajectory of Non-COVID-19 Acute Respiratory Distress Syndrome Patients. An Observational Study Focusing on Hypoxemia Resolver Status
Connor M. Toal, Alexander James Fowler, Brijesh V. Patel et al. Critical Care Explorations, 2023. Cites: paper

LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

The role of compression in large scale data transfer and storage of typical biomedical signals at hospitals
Martin Jacobsson, Fernando Seoane, Farhad Abtahi. Health Informatics Journal, 2023. Cites: dataset

Association of lactate/albumin ratio with in-hospital mortality in ICU patients with acute respiratory failure: A retrospective analysis based on MIMIC-IV database
Jing Ren, Quou Kang, Fangfang Wang et al. Medicine, 2023. Cites: paper

Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy
Wansheng Yan, Zhihui Yao, Qiutong Ou et al. BMC Gastroenterology, 2023. Cites: paper

FoGGAN: Generating Realistic Parkinson’s Disease Freezing of Gait Data Using GANs
Νικόλαος Πεππές, Panagiοtis Tsakanikas, Emmanouil Daskalakis et al. Sensors, 2023. Cites: paper

SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation
Sicen Liu, Xiaolong Wang, Jingcheng Du et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Using Monte Carlo simulated PPGs signals to train a deep learning model to predict hemoglobin levels
Michael A. Alvarez, Emmanuel Arzuaga, Heidy Sierra. Emerging Topics in Artificial Intelligence (ETAI), 2023. Cites: paper

Anticholinergic Burden and Xerostomia in Critical Care Settings
Joohyun Chung, Jennifer Tjia, Ning Zhang et al. Dimensions of Critical Care Nursing, 2023. Cites: paper

Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms
Alireza Zamanian, Narges Ahmidi, Mathias Drton. Statistics in Medicine, 2023. Cites: paper

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li et al. Information Fusion, 2023. Cites: paper

Domain-adapted Large Language Models for Classifying Nuclear Medicine Reports
Zachary Huemann, Changhee Lee, Junjie Hu et al. Radiology Artificial Intelligence, 2023. Cites: paper

TraumaICD Bidirectional Encoder Representation From Transformers
Jeff Choi, Yifu Chen, Alexander Sivura et al. Annals of Surgery, 2023. Cites: paper

Uncovering Bias in Personal Informatics
Sofia Yfantidou, Pavlos Sermpezis, Athena I. Vakali et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2023. Cites: paper

Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding
Chin Wang Cheong, Kejing Yin, William K. Cheung et al. ACM Transactions on Intelligent Systems and Technology, 2023. Cites: paper

Deciphering Clinical Narratives - Augmented Intelligence for Decision Making in Healthcare Sector
Lipika Dey, Sudeshna Jana, Tirthankar Dasgupta et al. Annals of Computer Science and Information Systems, 2023. Cites: paper

Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework
Pankaj, Ashish Kumar, Rama Komaragiri et al. Physical and Engineering Sciences in Medicine, 2023. Cites: paper

Early Prediction of Sepsis Using Time Series Forecasting
Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez et al. IEEE International Conference on eScience, 2023. Cites: paper

Early warning system enables accurate mortality risk prediction for acute gastrointestinal bleeding admitted to intensive care unit
Meng Jiang, Chang-li Li, Xingchen Lin et al. Internal and Emergency Medicine, 2023. Cites: paper

Children are small adults (when properly normalized): Transferrable/generalizable sepsis prediction
Caitlin Marassi, Damien Socia, Dale Larie et al. Surgery Open Science, 2023. Cites: paper

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis
Teng-Yun Cheng, Sam Yu-Chieh Ho, Tsair‐Wei Chien et al. Medicine, 2023. Cites: paper

Improving Clinical Decision Making With a Two-Stage Recommender System
Shaina Raza, Chen Ding. IEEE Transactions on Computational Biology and Bioinformatics, 2023. Cites: paper

Negativity and Positivity in the ICU: Exploratory Development of Automated Sentiment Capture in the Electronic Health Record
Chris J. Kennedy, Catherine Chiu, Allyson C. Cook et al. Critical Care Explorations, 2023. Cites: paper

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal
Iacopo Vagliano, Noman Dormosh, Miguel Rios et al. Journal of Biomedical Informatics, 2023. Cites: paper

A Survey of PPG's Application in Authentication
Lin Li, Chao Chen, Lei Pan et al. Computers & Security, 2023. Cites: paper

Mortality prediction using medical time series on TBI patients
João Fonseca, Xiuyun Liu, Hélder P. Oliveira et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Association between lactate/albumin ratio and all-cause mortality in critical patients with acute myocardial infarction
Danni Wang, Chaodi Luo, Qian Li et al. Scientific Reports, 2023. Cites: paper

Classification of Surgical Patients Needing Preoperative Cardiac Evaluations: A Comparison of General-Purpose and Domain-Specific Large Language Models (Preprint)
Jeffrey Logan Tully, Onkar Litake, Minhthy N. Meineke et al. 2023. Cites: paper

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