Publications citing MIMIC-III Waveform Database v1.0

Exploring the Underlying Mechanisms of Ischemic Heart Disease Post-Stroke: Insights from a 2-Year Follow-Up Investigation
Karamo Bah, Adama Ns Bah, Amadou Wurry Jallow et al. Annals of Gerontology and Geriatric Research, 2023. Cites: paper

A conceptual framework for the ICU of the future evaluated by the MIMIC-III digital archive
Dimitrios Markopoulos, Anastasios Tsolakidis, Ioannis S. Triantafyllou et al. Global Knowledge, Memory and Communication, 2023. Cites: paper

Artificial Intelligence Methods for Improved Detection of Undiagnosed Heart Failure with Preserved Ejection Fraction
Jack Wu, Dhruva Biswas, Matthew J. Ryan et al. European Journal of Heart Failure, 2023. Cites: paper

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study
Wenxiong Liao, Zhengliang Liu, Haixing Dai et al. JMIR Medical Education, 2023. Cites: paper

IntraCranial pressure prediction AlgoRithm using machinE learning (I-CARE): Training and Validation Study
Nicholas Fong, Jean Feng, Alan Hubbard et al. Critical Care Explorations, 2023. Cites: paper

Machine learning algorithms in sepsis
Luisa Agnello, Matteo Vidali, Andrea Padoan et al. Clinica Chimica Acta, 2023. Cites: paper

Modeling the Risk of Liver Cancer in Adults: A Machine Learning Investigation into the Role of Obesity and Overweight
Karamo Bah, Adama Ns Bah, Amadou Wurry Jallow. Archives of Pathology and Clinical Research, 2023. Cites: paper

EARLY PERSISTENT LYMPHOPENIA AND RISK OF DEATH IN CRITICALLY ILL PATIENTS WITH AND WITHOUT SEPSIS
Derick K. Adigbli, Rebecca Liu, Jason Meyer et al. Shock, 2023. Cites: paper

Exploring privacy measurement in federated learning
Gopi Krishna Jagarlamudi, Abbas Yazdinejad, Reza M. Parizi et al. The Journal of Supercomputing, 2023. Cites: paper

Robust and Efficient Case-Control Studies With Contaminated Case Pools: A Unified M-Estimation Framework
Guorong Dai, Jinbo Chen. Statistica Sinica, 2023. Cites: paper

Prediction of ECG fiducial parameters from PPG signals for the analysis of cardiovascular diseases: A novel Gaussian process regression-based approach
Rashmi Rekha Sahoo, Saibal Ghosh, Siddhartha Mani et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Recommendation System for Clinical Concept Mapping
Suman Pal, Monica Gaur, Rupanjali Chaudhuri et al. International Conference on Computational Intelligence, Networks and Security (ICCINS), 2023. Cites: paper

Association between pre-ICU statin use and ARDS mortality in the MIMIC-IV database: a cohort study
Hui Mao, Yi Yu, Qianqian Wang et al. Frontiers in Medicine, 2023. Cites: paper

Prediction and simulation of PEEP setting effects with machine learning models
Claas Strodthoff, Inéz Frerichs, Norbert Weiler et al. Medicina Intensiva (English Edition), 2023. Cites: paper

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms
Jianhui Gao, Clara-Lea Bonzel, Chuan Hong et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Fine-tuning coreference resolution for different styles of clinical narratives
Yuxiang Liao, Hantao Liu, ‪Irena Spasić. Journal of Biomedical Informatics, 2023. Cites: paper

Graph-guided deep hashing networks for similar patient retrieval
Yifan Gu, Xuebing Yang, Mengxuan Sun et al. Computers in Biology and Medicine, 2023. Cites: paper

A large-scale dataset of patient summaries for retrieval-based clinical decision support systems
Zhengyun Zhao, Qiao Jin, Fangyuan Chen et al. Scientific Data, 2023. Cites: paper

Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration
Jesús Cano, Vicente Bertomeu‐González, Lorenzo Fácila et al. Bioengineering, 2023. Cites: paper

Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring
Zhangdaihong Liu, Tingting Zhu, Lei Lü et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Machine learning-based clinical decision support for infection risk prediction
Ting Feng, David P. Noren, Chaitanya Kulkarni et al. Frontiers in Medicine, 2023. Cites: paper

Patient Similarity using Electronic Health Records and Self-supervised Learning
Hong N. Dao, Incheon Paik. IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2023. Cites: paper

A compressed large language model embedding dataset of ICD 10 CM descriptions
Michael J. Kane, Casey King, Denise Ann Esserman et al. BMC Bioinformatics, 2023. Cites: paper

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction
Xin Zhang, Xueping Peng, Hongjiao Guan et al. IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2023. Cites: paper

Patient privacy protection: Generating available medical treatment plans based on federated learning and CBR
Bo Xu, Yu Zhang, Zhi‐Ping Fan et al. Information & Management, 2023. Cites: paper

Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study
Longyuan Gu, Hongwei Hu, Shi‐Nan Wu et al. Heliyon, 2023. Cites: paper

Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informatics
Dillon Chrimes, Chanhee Kim. IEEE International Conference on Big Data (BigData), 2023. Cites: paper

DE-AGE Confounder Based Causal Representation Learning for Cuffless Blood Pressure Estimation
Zhizhong Fu, Shuaiting Yao, Zhan Shen et al. International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2023. Cites: paper

Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare
Hira Naseem, Cagatay Catal. International Conference on Natural Language Processing and Information Retrieval (NLPIR), 2023. Cites: paper

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition
Samuel Belkadi, Lifeng Han, Yuping Wu et al. IEEE International Conference on Big Data (BigData), 2023. Cites: paper

Graph Encoding-Enhanced Transformer for Drug Recommendation
Xunsheng Cai, Syauki Aulia Thamrin, Arbee L. P. Chen. IEEE International Conference on Big Data (BigData), 2023. Cites: paper

Improved Batching Strategy For Irregular Time-Series ODE
Ting Fung Lam, Yony Bresler, Ahmed Khorshid et al. International Conference on Machine Learning and Applications, 2023. Cites: paper

Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey
Ainhize Barrainkua, Paula Gordaliza, Jose Antonio Lozano et al. ACM Computing Surveys, 2023. Cites: paper

Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme. IEEE International Conference on Big Data (BigData), 2023. Cites: paper

DeepChain: A Deep Learning and Blockchain Based Framework for Detecting Risky Transactions on HIE System
Joseph Merhej, Hassan Harb, Abdelhafid Abouaïssa et al. IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2023. Cites: paper

Deep learning for report generation on chest X-ray images
Mohammed Yasser Ouis, Moulay A. Akhloufi. Computerized Medical Imaging and Graphics, 2023. Cites: paper

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database
Jiayu Guo, Hongtao Cheng, Zicheng Wang et al. Frontiers in Neurology, 2023. Cites: paper

KENKO - an AI system to hold health records and assist individuals across cross domains
G. Ignisha Rajathi, P Sneharajalakshmi, Midhun Kumar V N et al. International Conference on Recent Trends in Advance Computing (ICRTAC), 2023. Cites: paper

Comorbidities in congenital heart disease: different patterns in childhood and adulthood
Zhibao Ding, Jingai Zhu, Ye Ding et al. BMC Cardiovascular Disorders, 2023. Cites: paper

Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation
Seffi Cohen, Edo Lior, Moshe Bocher et al. Journal of Biomedical Informatics, 2023. Cites: paper

The association between serum anion gap and short-term prognosis in septic patients: Based on the Medical Information Mart for Intensive Care database
Desheng Ma, Li Ma. Research Square, 2023. Cites: paper

ACDNet: Attention-guided Collaborative Decision Network for effective medication recommendation
Jiacong Mi, Yi Zu, Zhuoyuan Wang et al. Journal of Biomedical Informatics, 2023. Cites: paper

Artificial Intelligence in the Early Prediction of Cardiogenic Shock in Acute Heart Failure or Myocardial Infarction Patients: A Systematic Review and Meta-Analysis
Apurva Popat, Sweta Yadav, Sagar K Patel et al. Cureus, 2023. Cites: paper

Fresh frozen plasma transfusion after cardiac surgery
Calvin M. Fletcher, Jake V. Hinton, Zhongyue Xing et al. Perfusion, 2023. Cites: paper

A Joint Ensemble Framework for the Detection of Acute Exacerbations in Chronic Obstructive Pulmonary Disease
Xuchun Wang, Yudong Zhang, Yu Yong Cui et al. Research Square, 2023. Cites: paper

A predictive analytics model using machine learning algorithms to estimate the risk of shock development among dengue patients
Jun Kit Chaw, Sook Hui Chaw, Chai Hoong Quah et al. Healthcare Analytics, 2023. Cites: paper

Contribution des études observationnelles dans la méta-analyse
Chérifa Cheurfa. 2023. Cites: paper

Exploratory electronic health record analysis with ehrapy
Lukas Heumos, Philipp Ehmele, Tim Treis et al. medRxiv, 2023. Cites: paper

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff. JMIR Medical Education, 2023. Cites: paper

Multi-organ spatiotemporal information aware model for sepsis mortality prediction
Xue Feng, Siyi Zhu, Yanfei Shen et al. Artificial Intelligence in Medicine, 2023. Cites: paper

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