Publications citing MIMIC-III Waveform Database v1.0

Improving Equity in Deep Learning Medical Applications with the Gerchberg-Saxton Algorithm
Seha Ay, Michael Cardei, Anne‐Marie Meyer et al. Journal of Healthcare Informatics Research, 2024. Cites: paper

Multi-modal heart failure risk estimation based on short ECG and sampled long-term HRV
Sergio González, Abel Ko-Chun Yi, Wan‐Ting Hsieh et al. Information Fusion, 2024. Cites: paper

Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning
Qiqiang Liang, Xin Xu, Shuo Ding et al. Renal Failure, 2024. Cites: paper

Leveraging Large Language Models for Clinical Abbreviation Disambiguation
Manda Hosseini, Mandana Hosseini, Reza Javidan. Journal of Medical Systems, 2024. Cites: paper

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
Sonish Sivarajkumar, Fengyi Gao, Parker Denny et al. JMIR Medical Informatics, 2024. Cites: paper

The value of five scoring systems in predicting the prognosis of patients with sepsis-associated acute respiratory failure
Shiqin Fan, Jing Ma. Scientific Reports, 2024. Cites: paper

Managing and Monitoring Patient's Healthcare Using AI and IoT Technologies
Pankaj Bhambri, Alex Khang. Advances in medical diagnosis, treatment, and care (AMDTC) book series, 2024. Cites: paper

Development and Validation of the VIOSync Sepsis Prediction Index: A Novel Machine Learning Model for Sepsis Prediction in ICU Patients
Sotirios G. Liliopoulos, Alexander Dejaco, Vasileios S. Dimakopoulos et al. medRxiv, 2024. Cites: paper

FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
Yan Wang, Ruochi Zhang, Qian Yang et al. Information Processing & Management, 2024. Cites: paper

Blood Urea Nitrogen to Serum Albumin Ratio as A New Prognostic Indicator in Critically Ill Patients with Diabetic Ketoacidosis: A Retrospective Cohort Study
Tingting Hang, Jing Huang, Guiping He et al. Experimental and Clinical Endocrinology & Diabetes, 2024. Cites: paper

Data encoding for healthcare data democratization and information leakage prevention
Anshul Thakur, Tingting Zhu, Vinayak Abrol et al. Nature Communications, 2024. Cites: paper

Doubly Flexible Estimation under Label Shift
Seong-ho Lee, Yanyuan Ma B, Jiwei Zhao. Journal of the American Statistical Association, 2024. Cites: paper

TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models
Jenna Kefeli, Nicholas P. Tatonetti. Patterns, 2024. Cites: paper

Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning
Zhan Shen, Tapabrata Chakraborti, Wenyan Wang et al. Biomedical Signal Processing and Control, 2024. Cites: paper

A Comparison of the Impact of Pharmacological Treatments on Cardioversion, Rate Control, and Mortality in Data-Driven Atrial Fibrillation Phenotypes in Critical Care
Alexander Lacki, Antonio Martínez-Millana. Bioengineering, 2024. Cites: paper

DEVELOPMENT AND INTERNAL-EXTERNAL VALIDATION OF THE ACCI-SOFA MODEL FOR PREDICTING IN-HOSPITAL MORTALITY OF PATIENTS WITH SEPSIS-3 IN THE ICU: A MULTICENTER RETROSPECTIVE COHORT STUDY
Yueyue Huang, Yifan Gao, Shichao Quan et al. Shock, 2024. Cites: paper

Modelling long medical documents and code associations for explainable automatic ICD coding
Wenhui Hou, Xiaokang Wang, Yanan Wang et al. Expert Systems with Applications, 2024. Cites: paper

CODD: A benchmark dataset for the automated sorting of construction and demolition waste
Demetris Demetriou, Pavlos Mavromatidis, Michael F. Petrou et al. Waste Management, 2024. Cites: paper

Convolutional Neural Network Based Predictive Framework for Intensive Care Unit Readmission
Nadia Rasheed, Muhammad Usman Akram, Jahan Zeb. International Conference on Advancements in Computational Sciences (ICACS), 2024. Cites: paper

Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies
Che Harris, Yingfei Tang, Eliana Birnbaum et al. Archives of Clinical Neuropsychology, 2024. Cites: paper

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation
Hengjie Zheng, Yongguo Liu, Shangming Yang et al. Neural Processing Letters, 2024. Cites: paper

Prediction of arterial blood pressure waveforms based on Multi-Task learning
Gang Ma, Lesong Zheng, Wenliang Zhu et al. Biomedical Signal Processing and Control, 2024. Cites: paper

The Role of Artificial Intelligence in Improving Patient Outcomes and Future of Healthcare Delivery in Cardiology: A Narrative Review of the Literature
Dhir Gala, Haditya Behl, Mili Shah et al. Healthcare, 2024. Cites: paper

Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease
Xunliang Li, Zhijuan Wang, Wenman Zhao et al. Renal Failure, 2024. Cites: paper

Improving Prediction of Survival for Extremely Premature Infants Born at 23 to 29 Weeks Gestational Age in the Neonatal Intensive Care Unit: Development and Evaluation of Machine Learning Models
Angie Li, Sarah Mullin, Peter L. Elkin. JMIR Medical Informatics, 2024. Cites: paper

Racial Bias in Pain Measurement Frequency in ICU and its Impact on Early Readmission
Gaurav Jetley, He Zhang. Production and Operations Management, 2024. Cites: paper

MIFNet: multimodal interactive fusion network for medication recommendation
Jiazhen Huo, Zhikai Hong, Mingzhou Chen et al. The Journal of Supercomputing, 2024. Cites: paper

A foundation for evaluating the surgical artificial intelligence literature
Daniel A. Hashimoto, Sai Koushik Sambasastry, Vivek Singh et al. European Journal of Surgical Oncology, 2024. Cites: paper

Multi-view representation learning for tabular data integration using inter-feature relationships
Sandhya Tripathi, Bradley A. Fritz, Mohamed Abdelhack et al. Journal of Biomedical Informatics, 2024. Cites: paper

Early prediction of sepsis using chatGPT-generated summaries and structured data
Qiang Li, Hanbo Ma, Dan Song et al. Multimedia Tools and Applications, 2024. Cites: paper

Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator
Grace E. Rhodes, Marie Davidian, Wenbin Lu. Biostatistics, 2024. Cites: paper

Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes
Xiaodan Zhang, Nabasmita Talukdar, Sandeep Vemulapalli et al. medRxiv, 2024. Cites: paper

Cuffless Blood Pressure Estimation Model Using Clustering Techniques
Jin‐Hyeok Baek, Bongjin Lee, Vega Pradana Rachim et al. IEEE Sensors Journal, 2024. Cites: paper

FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
Marine Hoche, Olga Mineeva, Manuel Burger et al. medRxiv, 2024. Cites: paper

Using natural language processing for automated classification of disease and to identify misclassified ICD codes in cardiac disease
Maarten Falter, Dries Godderis, Martijn Scherrenberg et al. European Heart Journal - Digital Health, 2024. Cites: paper

Multivariate Model to Predict Survival in Community-Acquired Pneumonia
Changsen Zhu, Guoqiang Zheng, Yiyi Xu et al. Research Square, 2024. Cites: paper

Reducing Diagnostic Uncertainty Using Large Language Models
Joseph Finkelstein, Wanting Cui, Keaton L. Morgan et al. IEEE International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC), 2024. Cites: paper

Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes
Menglu Wang, Guangjian Liu, Zhennan Ni et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

DRR: Global Context-Aware Neural Network Using Disease Relationship Reasoning and Attention-Based Feature Fusion
Zhixing Ding, Zhengqiang Li, Xi Li et al. Mathematics, 2024. Cites: paper

Federated Offline Reinforcement Learning
Doudou Zhou, Yufeng Zhang, Aaron Sonabend-W et al. Journal of the American Statistical Association, 2024. Cites: paper

Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph
Fanglin Zhu, Xu Zhang, Batuo Zhang et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Personalized Impression Generation for PET Reports Using Large Language Models
Xin Tie, Muheon Shin, Ali Pirasteh et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare
Shuai Niu, Jing Ma, Qing Yin et al. Annals of Operations Research, 2024. Cites: paper

Association Between Serum Anion Gap and Mortality in Critically Ill Patients with COPD in ICU: Data from the MIMIC IV Database
Xiaojing Chen, Qilin Yang, Li Gao et al. International Journal of COPD, 2024. Cites: paper

A two-stream deep model for automated ICD-9 code prediction in an intensive care unit
Mustafa Arda Ayden, Mehmet Eren Yüksel, Seniha Esen Yüksel. Heliyon, 2024. Cites: paper

HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis
Taek-Ho Lee, Suhyeon Kim, Junghye Lee et al. Information Sciences, 2024. Cites: paper

Natural Language Processing for Radiation Oncology: Personalizing Treatment Pathways
Hui Lin, Lisa Ni, Christina Phuong et al. Pharmacogenomics and Personalized Medicine, 2024. Cites: paper

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning
Simi Job, Xiaohui Tao, Lin Li et al. ACM Transactions on Intelligent Systems and Technology, 2024. Cites: paper

Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications
Larisa Gorenstein, Eli Konen, Michael Green et al. Journal of the American College of Radiology, 2024. Cites: paper

Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis
Imanol Isasa, Mikel Hernandez, Gorka Epelde et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

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