Publications citing MIMIC-III Clinical Database Demo v1.4

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients
Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh et al. Expert Systems with Applications, 2024. Cites: paper

Evaluation of synthetic electronic health records: A systematic review and experimental assessment
Emmanuella Budu, Kobra Etminani, Amira Soliman et al. Neurocomputing, 2024. Cites: paper

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Jiayuan Chen, Changchang Yin, Yuanlong Wang et al. International Joint Conference on Artificial Intelligence, 2024. Cites: paper

Machine learning for predicting mortality in adult critically ill patients with Sepsis: A systematic review
Nasrin Nikravangolsefid, Swetha Reddy, Hong Hieu Truong et al. Journal of Critical Care, 2024. Cites: paper

Machine learning for the prediction of 1-year mortality in patients with sepsis-associated acute kidney injury
Le Li, Jingyuan Guan, Xi Peng et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish
Jocelyn Dunstan, Thomas Vakili, Luis Miranda et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention
Marko Mäkynen, G. André Ng, Xin Li et al. Sensors, 2024. Cites: paper

Improving Group Fairness Assessments with Proxies
Emma Harvey, Michelle Seng Ah Lee, Jatinder Pal Singh. ACM Journal on Responsible Computing, 2024. Cites: paper

Question Answering for Electronic Health Records: Scoping Review of Datasets and Models
Jayetri Bardhan, Kirk E Roberts, Daisy Zhe Wang. Journal of Medical Internet Research, 2024. Cites: paper

Using Enhanced Representations to Predict Medical Procedures from Clinician Notes
Roberto Móstoles, Óscar Araque, Carlos Á. Iglesias. Applied Sciences, 2024. Cites: paper

A two-tier feature selection method for predicting mortality risk in ICU patients with acute kidney injury
Mengqing Liu, Zhi‐Ping Fan, Yu Gao et al. Scientific Reports, 2024. Cites: paper

Transfer learning with BERT and ClinicalBERT models for multiclass classification of radiology imaging reports
Sneha Mithun, Umesh B. Sherkhane, Ashish Kumar Jha et al. Research Square, 2024. Cites: paper

Does generative artificial intelligence pose a risk to performance validity test security?
Shannon B. Lavigne, Anthony Rios, Jeremy J. Davis. The Clinical Neuropsychologist, 2024. Cites: paper

Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients
Yingting Xu, Weimin Zhang, Xuchao Ma et al. Scientific Reports, 2024. Cites: paper

A Study of Class Imbalance in Medical Prediction Tasks
Zhe Zhao. International Conference on Applied Machine Learning (ICAML), 2024. Cites: paper

The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models
Giulio Marchena Sekli. Kybernetes, 2024. Cites: paper

Frailty Modeling Using Machine Learning Methodologies: A Systematic Review With Discussions on Outstanding Questions
Hongfei Yang, Jiangeng Chang, Wenbo He et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies
Shuai Niu, Jing Ma, Qing Yin et al. Information Systems Frontiers, 2024. Cites: paper

Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
Shenghuan Sun, Travis Ian Zack, Christopher Y. K. Williams et al. JAMIA Open, 2024. Cites: paper

TGGS network: A multi-task learning network for gradient-guided knowledge sharing
Yongjie Huang, Xiao Han, Man Chen et al. Knowledge-Based Systems, 2024. Cites: paper

A novel approach of Gaussian mixture model-based data compression of ECG and PPG signals for various cardiovascular diseases
Rashmi Rekha Sahoo, Subhajit Bhowmick, Dharmadas Mandal et al. Biomedical Signal Processing and Control, 2024. Cites: paper

ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes
Amir Gandomi, Phil Wu, Daniel R Clement et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals
Bharindra Kamanditya, Yunendah Nur Fuadah, Nurul Qashri Mahardika T et al. Scientific Reports, 2024. Cites: paper

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
Linh Tran, Sanjay Chari, Md. Saikat Islam Khan et al. IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 2024. Cites: paper

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study
Rui Yang, Qingcheng Zeng, Keen You et al. Journal of Medical Internet Research, 2024. Cites: paper

ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations
Hengyu Zhang, Hang Lv, Yanchao Tan et al. IEEE International Conference on Multimedia and Expo (ICME), 2024. Cites: paper

Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart Disease
Matthew W. Hodgman, Emily M. Wittrup, Kayvan Najarian. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling
Khuong Vo, Mostafa El‐Khamy, Yoojin Choi. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Visual Representation of Tabular Electronic Health Records for Predicting Sudden Cardiac Arrest
Rubya Afrin, Emad Ahmed Mohammed, Behrouz H. Far. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Differentially private de-identifying textual medical document is compliant with challenging NLP analyses: Example of privacy-preserving ICD-10 code association
Yakini Tchouka, Jean-François Couchot, David Laiymani et al. Intelligent Systems with Applications, 2024. Cites: paper

Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration
Zilong Yin, Haoyu Wang, Bin Chen et al. Knowledge-Based Systems, 2024. Cites: paper

Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging—Artificial Intelligence & Technology Collaboratory for Aging Research Symposium
Peter M. Abadir, Alexis J. Battle, Jeremy D Walston et al. The Journals of Gerontology Series A, 2024. Cites: paper

A Comparative Analysis of Logistic Regression and Decision Trees for Mortality Risk Prediction using Laboratory Data
Tessy Badriyah, Selvia Ferdiana Kusuma, Rosiyah Faradisa et al. International Conference of Science and Information Technology in Smart Administration (ICSINTESA), 2024. Cites: paper

Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance
Samuel E. Blechman, Erik S. Wright. The Journal of Infectious Diseases, 2024. Cites: paper

Association between the triglyceride glucose index and the risk of acute kidney injury in critically ill patients with hypertension: analysis of the MIMIC-IV database
Wenbin Zhang, Zewen Yang. Frontiers in Endocrinology, 2024. Cites: paper

EHR Breakthroughs: Illuminating Dysthymic Disorder in the Healthcare Odyssey
Souhardya Das, Proma Mondal, Shambhab Chaki et al. IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2024. Cites: paper

De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Yonghe Zhao, Qiang Huang, Haolong Zeng et al. Data Mining and Knowledge Discovery, 2024. Cites: paper

Explicit Context Integrated Recurrent Neural Network for applications in smart environments
Rashmi Dutta Baruah, Mario Muñoz-Organero. Expert Systems with Applications, 2024. Cites: paper

Investigating computational models for diagnosis and prognosis of sepsis based on clinical parameters: Opportunities, challenges, and future research directions
Jyotirmoy Gupta, Amit Kumar Majumder, Diganta Sengupta et al. Journal of Intensive Medicine, 2024. Cites: paper

OEHR: An Orthopedic Electronic Health Record Dataset
Yibo Xie, Kaifan Wang, Jiawei Zheng et al. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024. Cites: paper

Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study
Genta Ito, Shuntaro Yada, Shoko Wakamiya et al. JMIR Formative Research, 2024. Cites: paper

Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis
Bihua He, Zheng He Qiu. Frontiers in Artificial Intelligence, 2024. Cites: paper

PredictStr: A Balanced Benchmark Dataset for Improve Stroke Prediction
Taissir Fekih Romdhane, Mohamed Ibn Khedher, Mounîm A. El‐Yacoubi. Conference on Human System Interactions, 2024. Cites: paper

The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant
Jingqing Zhang, Kai Sun, Akshay Jagadeesh et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study
Maruthi Kumar Mutnuri, Henry T. Stelfox, Nils D. Forkert et al. Journal of Medical Internet Research, 2024. Cites: paper

Artificial intelligence in acute care: A systematic review, conceptual synthesis, and research agenda
Lea Mareen Meyer, Susan Stead, Torsten Oliver Salge et al. Technological Forecasting and Social Change, 2024. Cites: paper

Automated ICD Coding via Contrastive Learning With Back-Reference and Synonym Knowledge for Smart Self-Diagnosis Applications
Zhizhuo Zhao, Wenpeng Lü, Xueping Peng et al. IEEE Transactions on Consumer Electronics, 2024. Cites: paper

Does synthetic data augmentation improve the performances of machine learning classifiers for identifying health problems in patient–nurse verbal communications in home healthcare settings?
Jihye Kim Scroggins, Maxim Topaz, Jiyoun Song et al. Journal of Nursing Scholarship, 2024. Cites: paper

Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit
Soukaina Rhazzafe, Fabio Caraffini, Simon Colreavy‐Donnelly et al. Applied Sciences, 2024. Cites: paper

$\Delta$BP-Net: Monitoring “Changes” in Blood Pressure Using PPG With Self-Contrastive Masking
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

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