Publications citing MIMIC-III Waveform Database v1.0

Machine learning‐based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series
Ruifeng Ding, Mengqiu Deng, Huawei Wei et al. CNS Neuroscience & Therapeutics, 2024. Cites: paper

PheW2P2V: a phenome-wide prediction framework with weighted patient representations using electronic health records
Jia Guo, Krzysztof Kiryluk, Shuang Wang. JAMIA Open, 2024. Cites: paper

A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography
Jin Fang Zhao, Qi Zhang, Caijie Qin et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction
Xin Yun Choy, Li Rong Wang, Thomas C. Henderson et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

ETreeNet: Ensemble Model Fusing Decision Trees and Neural Networks for Small Tabular Data
Tsukasa Yamakura, Kazushi Kawamura, Masato Motomura et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

EXAMINATION OF SUMMARIZED MEDICAL RECORDS FOR ICD CODE CLASSIFICATION VIA BERT
Dilek Aydoğan Kılıç, Deniz Kenan Kılıç, Izabela Ewa Nielsen. Applied Computer Science, 2024. Cites: paper

MMTS: Multi-Modal Time Series Based Decision Support System for Ventilator Associated Pneumonia
Nikki Tiwari, Kolin Paul, Shrawan Kumar Raut et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

The Impact of Aligning Artificial Intelligence Large Language Models With Bloom's Taxonomy in Healthcare Education
Matthew Pears, Stathis Th Konstantinidis. Advances in business information systems and analytics book series, 2024. Cites: paper

RICD: Russian Intensive Care Dataset
Andrey V. Grechko, Mikhail Ya. Yadgarov, Alexey А. Yakovlev et al. General Reanimatology, 2024. Cites: paper

An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation (Preprint)
John Novoa-Laurentiev, Mica Curtin-Bowen, Avery Pullman et al. 2024. Cites: paper

TA-RNN: an attention-based time-aware recurrent neural network architecture for electronic health records
Mohammad Al Olaimat, Serdar Bozdag, Alzheimer’s Disease Neuroimaging Initiative. Bioinformatics, 2024. Cites: paper

Photoplethysmography Signal Quality Assessment Using Neighbour Edge Restricted Horizontal Visibility Graph and Machine Learning Classifiers
Zahir Khan, M. Sabarimalai Manikandan, Mufti Mahmud. International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2024. Cites: paper

Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li et al. Information Fusion, 2024. Cites: paper

Distinguishing Clinical Sentiment in Intensive Care Unit Clinical Notes
Shahad Nagoor, Lucy Hederman, Kevin Koidl et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2024. Cites: paper

Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review
Jessica Sharmin Rahman, Aida Brankovic, Mark Brian Tracy et al. Interactive Journal of Medical Research, 2024. Cites: paper

Fuzzy Multiview Graph Learning on Sparse Electronic Health Records
Tao Tang, Zhuoyang Han, Shuo Yu et al. IEEE Transactions on Fuzzy Systems, 2024. Cites: paper

Identificando Comportamentos de Risco para Doenças Crônicas: Uma abordagem baseada em ontologia
Lucas Pfeiffer Salom�ão Dias, Henrique Damasceno Vianna, Wesllei Felipe Heckler et al. iSys - Brazilian Journal of Information Systems, 2024. Cites: paper

MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU
Lena Mondrejevski, Franco Rugolon, Ioanna Miliou et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2024. Cites: paper

MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain
Alaa Marshan, Anwar Nais Almutairi, Athina Ioannou et al. Frontiers in Big Data, 2024. Cites: paper

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
Johannes Rückert, Louise Bloch, Raphael Brüngel et al. Scientific Data, 2024. Cites: paper

Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
Atitaya Phoemsuk, Vahid Abolghasemi. IEEE Conference on Artificial Intelligence (CAI), 2024. Cites: paper

Enhancing Biomedical Multi-modal Representation Learning with Multi-scale Pre-training and Perturbed Report Discrimination
Xinliu Zhong, Kayhan N. Batmanghelich, Li Sun. IEEE Conference on Artificial Intelligence (CAI), 2024. Cites: paper

Predicting Inpatient Admissions in Brazilian Hospitals
Bernardo Scapini Consoli, Renata Viera, Rafael H. Bordini et al. 2024. Cites: paper

Prediction of In-Hospital Mortality for ICU Patients with Heart Failure
Jiahong Zhang, Hexin Li, Negin Ashrafi et al. medRxiv, 2024. Cites: paper

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
Yukai Xu, Jingfeng Zhang, Yujie Gu. IEEE Conference on Artificial Intelligence (CAI), 2024. Cites: paper

PulsECG - A Cuffless Non-Invasive Blood Pressure Monitoring Device through Neural Network Analysis of ECG and PPG signals
Vincenzo Randazzo, Pietro Buccellato, Jacopo Ferretti et al. IEEE Mediterranean Electrotechnical Conference (MELECON), 2024. Cites: paper

A novel clinical prediction model for in-hospital mortality in sepsis patients complicated by ARDS: A MIMIC IV database and external validation study
Ying Chen, Chengzhu Zong, Linxuan Zou et al. Heliyon, 2024. Cites: paper

Association between Hematocrit and Acute Kidney Injury in Patients with Acute Myocardial Infarction
Sheng Su, Likun Zhou, Le Li et al. Reviews in Cardiovascular Medicine, 2024. Cites: paper

Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction
Jiayin Zhou, Jie Hao, Mingkun Tang et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

“Enhancing Stroke Prediction with Machine Learning in Smart Healthcare Systems“
Shivam Nayak, Nishi S. Gupta. International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2024. Cites: paper

Transformer-Based Biomedical Text Extraction
Ruba Al Khalaf, Anna Bernasconi. Elsevier eBooks, 2024. Cites: paper

DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting
Chengdong Zheng, Yuliang Shi, Wu Lee et al. World Wide Web, 2024. Cites: paper

INSPIRE, a publicly available research dataset for perioperative medicine
Leerang Lim, Hyeonhoon Lee, Chul-Woo Jung et al. Scientific Data, 2024. Cites: paper

Inter-structure and intra-semantics graph contrastive learning for disease prediction
Yan Kang, Jingyu Zheng, Mingjian Yang et al. Knowledge-Based Systems, 2024. Cites: paper

Spatiotemporal Data Modelling for Epidemiological Research in Hospitals
Lorena Pujante-Otalora, Manuel Campos, José M. Juárez et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Compact machine learning model for the accurate prediction of first 24-hour survival of mechanically ventilated patients
Quynh Thi Nguyen, Mai P. Tran, Vishnu Prabhakaran et al. Frontiers in Medicine, 2024. Cites: paper

A GPU Pipeline for Hyperparameter Optimization on IoT Platforms: Comparing Pulse-by-Pulse vs. Fixed Time Windows for Cuffless Blood Pressure Estimation
José A. González‐Nóvoa, José Fariña, Juan Jose Rodriguez-Andina et al. IEEE International Symposium on Industrial Electronics (ISIE), 2024. Cites: paper

EHR coding with hybrid attention and features propagation on disease knowledge graph
Tianhan Xu, Bin Li, Ling Chen et al. Artificial Intelligence in Medicine, 2024. Cites: paper

The Complete Inpatient Record Using Comprehensive Electronic Data ( CIRCE ) project: A team‐based approach to clinically validated, research‐ready electronic health record data
Andrea L.C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin et al. Learning Health Systems, 2024. Cites: paper

Improving platelet‐ RNA ‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
Maksym A. Jopek, Krzysztof Pastuszak, Michał Sieczczyński et al. Molecular Oncology, 2024. Cites: paper

Nature is resource, playground, and gift: What artificial intelligence reveals about human–Nature relationships
Rachelle K. Gould, Bradford Demarest, Adrian J. Ivakhiv et al. PLoS ONE, 2024. Cites: paper

Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
Ali Shirali, Alexander Schubert, Ahmed M. Alaa. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Towards Maps of Disease Progression: Biomedical Large Language Model Latent Spaces For Representing Disease Phenotypes And Pseudotime
Rafael Zamora‐Resendiz, Ifrah Khurram, Silvia N. Crivelli. medRxiv, 2024. Cites: paper

Using Deep Learning to Predict Mortality Rate
Chih-Ta Yen, Yi-Kai Huang, Jia-Xian Liao. IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), 2024. Cites: paper

Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
Michael Lowe, Joseph D. Prusa, Joffrey L. Leevy et al. Journal Of Big Data, 2024. Cites: paper

Association of serum ferritin and all-cause mortality in AKI patients: a retrospective cohort study
Xiaoxu Ren, Zhiming Jiang, Fen Liu et al. Frontiers in Medicine, 2024. Cites: paper

DAJLENet: A neural network based on dual attention and joint learning for explainable heart failure adverse event prediction
Tianhan Xu, Jinxiang Zhang, Bin Li. Computers & Electrical Engineering, 2024. Cites: paper

Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective
Sirui Ding, Shenghan Zhang, Xia Hu et al. Journal of Biomedical Informatics, 2024. Cites: paper

AI-Driven Healthcare: Predictive Analytics for Disease Diagnosis and Treatment
International Journal for Modern Trends in Science and Technology, 2024. Cites: paper

A targeted likelihood estimation comparing cefepime and piperacillin/tazobactam in critically ill patients with community-acquired pneumonia (CAP)
Cristian C. Serrano-Mayorga, Sara Duque, Elsa Daniela Ibañez-Prada et al. Scientific Reports, 2024. Cites: paper

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