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

Deep Residual Networks and Bayesian Data Priors in the Survival Prediction and Classification
Min Zhang. Highlights in Science Engineering and Technology, 2023. Cites: paper

Convolutional block attention autoencoder for denoising electrocardiograms
Wesley Chorney, Haifeng Wang, Lu He et al. Biomedical Signal Processing and Control, 2023. Cites: dataset, paper

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage
Bo Liu, Donghuan Lu, Dong Wei et al. IEEE Transactions on Medical Imaging, 2023. Cites: paper

Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records
Md Muntasir Zitu, Shijun Zhang, Dwight Hall Owen et al. Frontiers in Pharmacology, 2023. Cites: paper

Optimal discharge of patients from intensive care via a data-driven policy learning framework
Fernando Lejarza, Jacob S. Calvert, Misty M. Attwood et al. Operations Research for Health Care, 2023. Cites: paper

Several Categories of Large Language Models (LLMs): A Short Survey
Saurabh A. Pahune, Manoj Chandrasekharan. International Journal for Research in Applied Science and Engineering Technology, 2023. Cites: paper

Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini, Nassir Navab, Anees Kazi. Medical Image Analysis, 2023. Cites: paper

Using domain adaptation and inductive transfer learning to improve patient outcome prediction in the intensive care unit
Maruthi Kumar Mutnuri, Henry T. Stelfox, Nils D. Forkert et al. Research Square, 2023. Cites: paper

Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification
Cyril H. M. Tang, Jarrel C. Y. Seah, Hassan K. Ahmad et al. Diagnostics, 2023. Cites: paper

Deep imputation of missing values in time series health data: A review with benchmarking
Maksims Kazijevs, Manar D. Samad. Journal of Biomedical Informatics, 2023. Cites: paper

FarsTail: a Persian natural language inference dataset
Hossein Amirkhani, Mohammad AzariJafari, Soroush Faridan-Jahromi et al. Soft Computing, 2023. Cites: paper

SCOPE: predicting future diagnoses in office visits using electronic health records
Pritam Mukherjee, Marie Humbert‐Droz, Jonathan H. Chen et al. Scientific Reports, 2023. Cites: paper

Effects of Varying $k$ in $L_{k}$ Norm Similarity Measures on a Reinforcement Learning-Based Clinical Decision Support System
Cristian Drudi, Maximiliano Mollura, Riccardo Barbieri. IEEE EUROCON - International Conference on Computer as a Tool (EUROCON), 2023. Cites: paper

MIMIC III Text classification with the generalization of BERT transformer model synergized with XGBoost classifier
Venkatraman Viswanathan, S. Sridevi, R Prasanna Kumar et al. International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2023. Cites: paper

Developing clinical prediction models for nominal polytomous outcomes: a simulation study comparing available approaches
Alexander Pate, Richard D Riley, Matthew Sperrin et al. Research Square, 2023. Cites: paper

Non-invasive Evaluation of Cardiovascular Dynamics Using Statistical Learning Tools
Nicolas A. Aguirre. 2023. Cites: paper

The truth Hertz—synchronization of electroencephalogram signals with physiological waveforms recorded in an intensive care unit
Andrew J Goodwin, William Dixon, Mjaye Mazwi et al. Physiological Measurement, 2023. Cites: paper

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values
Amin Nayebi, Sindhu Tipirneni, Chandan K. A. Reddy et al. Journal of Biomedical Informatics, 2023. Cites: paper

Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network
Mohammad Mahbubur Rahman Khan Mamun, Tarek Elfouly. Bioengineering, 2023. Cites: paper

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Qiao Jin, Kim, Won, Qingyu Chen et al. arXiv (Cornell University), 2023. Cites: paper

Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
Nikhil Agarwal, Alex Vernon Moehring, Pranav Rajpurkar et al. National Bureau of Economic Research, 2023. Cites: paper

Policy Integrated Blockchain to Automate HIPAA Part 2 Compliance
James R. Clavin, Karuna Pande Joshi. IEEE International Conference on Digital Health (ICDH), 2023. Cites: paper

Research Hotspots and Trends of Deep Learning in Critical Care Medicine: A Bibliometric and Visualized Study
Kaichen Zhang, Yihua Fan, Kunlan Long et al. Journal of Multidisciplinary Healthcare, 2023. Cites: paper

Search for Clinical Entities Associated with Atherosclerosis Using Methods of Natural Language Processing
Ирина Леонидовна Каширина, Maria Demchenko. Applied Mathematics, Computational Science and Mechanics: Current Problems (AMCSM), 2023. Cites: paper

Transfer Learning Improves Unsupervised Assignment of ICD codes with Clinical Notes
Amit Kumar, Souparna Das, Suman Deb Roy. IEEE International Conference on Digital Health (ICDH), 2023. Cites: paper

Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment
Sen Cui, Weishen Pan, Changshui Zhang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. Cites: paper

Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor
Sai Priyanka Surapaneni, M. Sabarimalai Manikandan. International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2023. Cites: paper

Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care
Lorenzo Brancato, Iacer Calixto, Ameen Abu–Hanna et al. Studies in health technology and informatics, 2023. Cites: paper

Use of Real-World Data to Support Adverse Drug Reactions Prevention During ePrescription
Vlasios K. Dimitriadis, Achilleas Chytas, Margarita Grammatikopoulou et al. Studies in health technology and informatics, 2023. Cites: paper

Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy Jiaqi Wang, Drew F. K. Williamson et al. Nature Biomedical Engineering, 2023. Cites: paper

A new machine learning method for predicting systolic and diastolic blood pressure using clinical characteristics
Anurag Shrivastava, Midhun Chakkaravarthy, Mohd Asif Shah. Healthcare Analytics, 2023. Cites: paper

Generalizing a causal effect from a trial to a target population : methodological and theoretical contributions
Bénédicte Colnet. 2023. Cites: paper

Localizing in-domain adaptation of transformer-based biomedical language models
Tommaso Mario Buonocore, Claudio Crema, Alberto Redolfi et al. Journal of Biomedical Informatics, 2023. Cites: paper

Desafios e Tendências na Predição de Sepse
Lourival G. Silva Jr., Rossana M. C. Andrade, Joaquim Celestino. 2023. Cites: paper

Heterogeneous Ensemble Models for In-Hospital Mortality Prediction
Mattyws F. Grawe, Viviane P. Moreira. 2023. Cites: paper

Insights into vascular physiology from sleep photoplethysmography
Gizem Yılmaz, Ju Lynn Ong, Lieng Hsi Ling et al. SLEEP, 2023. Cites: paper

Annotate French Clinical Data Using Large Language Model Predictions
Simon Méoni, Théo Ryffel, Éric Villemonte de la Clergerie. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Application of Synthetic Datasets across Courses in Health Informatics Education
Hua Min, Hedyeh Mobahi, Janusz Wojtusiak. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes
Shaina Raza, Syed Raza Bashir. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Concurrent Multi-Label Prediction in Event Streams
Xiao Shou, Tian Gao, Dharmashankar Subramanian et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
Qianyu Chen, Xin Li, Kunnan Geng et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Deep learning prediction models based on EHR trajectories: A systematic review
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani. Journal of Biomedical Informatics, 2023. Cites: paper

Estimating Average Causal Effects from Patient Trajectories
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Defu Cao, James Enouen, Yujing Wang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision
Kurt Miller, Bhavani Singh Agnikula Kshatriya, Nicolás A. Núñez et al. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
Kai Yang, Yongxin Xu, Peinie Zou et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt
Zhichao Yang, Sunjae Kwon, Zonghai Yao et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper

Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction
Tingyi Wanyan, Mingquan Lin, Ying Ding et al. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Shenghan Zhang, Haoxuan Li, Ruixiang Tang et al. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Predictive value for prognosis of sepsis based on the Light Gradient Boosting machine algorithm model
Shengyue Chen, Changjie Ke, Mingwei Zhai et al. Research Square, 2023. Cites: paper

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