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

BME 2.0: Engineering the Future of Medicine
Michael I. Miller, Andrew O. Brightman, Frederick H. Epstein et al. BME Frontiers, 2022. Cites: paper

Entering the new digital era of intensive care medicine: an overview of interdisciplinary approaches to use artificial intelligence for patients’ benefit
Oliver Old, Benjamin Friedrichson, Kai D. Zacharowski et al. European Journal of Anaesthesiology Intensive Care, 2022. Cites: paper

Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
Ellie D’Hondt, Thomas J. Ashby, Imen Chakroun et al. Communications Medicine, 2022. Cites: paper

Predicting Risk Factors of Acute Kidney Injury in the First 7 Days after Admission: Analysis of a Group of Critically Ill Patients
Kexin Wen, Yongqing Huang, Qi Guo et al. Cardiovascular Therapeutics, 2022. Cites: paper

Association between first 24-h mean body temperature and mortality in patients with diastolic heart failure in intensive care unit: A retrospective cohort study
Hongyu Xu, Yonggang Xie, Xiaoling Sun et al. Frontiers in Medicine, 2022. Cites: paper

Predicting Intensive Care Delirium with Machine Learning: Model Development and External Validation
Kirby D. Gong, Ryan Lu, Teya S. Bergamaschi et al. Anesthesiology, 2022. Cites: paper

Classification of ECG Signals for Detecting Coronary Heart Diseases Using Deep Transfer Learning Techniques
Mohammed M. Abo-Zahhad, Ashraf Mohamed Ali Hassan. International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 2022. Cites: paper

Data Driven Classification of Opioid Patients Using Machine Learning–An Investigation
Lisan Al Amin, Md. Saddam Hossain Mukta, Md. Sezan Mahmud Saikat et al. IEEE Access, 2022. Cites: paper

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features
Xinyu Ma, Yasha Wang, Xu Chu et al. IEEE Transactions on Knowledge and Data Engineering, 2022. Cites: paper

ShockModes: A Multimodal Model for Prognosticating Intensive Care Outcomes from Physician Notes and Vitals
Ridam Pal, Shaswat Patel, Akshala Bhatnagar et al. medRxiv, 2022. Cites: paper

A comprehensive review on knowledge graphs for complex diseases
Yang Yang, Yuwei Lu, Wenying Yan. Briefings in Bioinformatics, 2022. Cites: paper

Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records
Pascal Wullschleger, Simone Lionetti, Donnacha Daly et al. IEEE International Conference on Big Data (BigData), 2022. Cites: paper

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies
Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee et al. IEEE International Conference on Big Data (BigData), 2022. Cites: paper

Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments
Riazat Ryan, Ming Shao. IEEE International Conference on Big Data (BigData), 2022. Cites: paper

Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model
Yingjie Su, Cuirong Guo, Shifang Zhou et al. European journal of medical research, 2022. Cites: paper

Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
Girmaw Abebe Tadesse, William Ogallo, Celia Cintas et al. IEEE International Conference on Big Data (BigData), 2022. Cites: paper

An Exploration of Learning About Cardiovascular Disease Predictionusing Deep Learning
L. Dharani, G. Victo Sudha George, S. Geetha. International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2022. Cites: paper

Multimodal Learning for Multi-omics: A Survey
Sina Tabakhi, Mohammod N. I. Suvon, Pegah Ahadian et al. World Scientific Annual Review of Artificial Intelligence, 2022. Cites: paper

Platelet Transfusion After Cardiac Surgery
Calvin M. Fletcher, Jake V. Hinton, Zhongyue Xing et al. Journal of Cardiothoracic and Vascular Anesthesia, 2022. Cites: paper

TERTIAN: Clinical Endpoint Prediction in ICU via Time-Aware Transformer-Based Hierarchical Attention Network
Ying An, Yang Liu, Xianlai Chen et al. Computational Intelligence and Neuroscience, 2022. Cites: paper

A Deep Learning Approach To Identifying Risk Factors Associated With Lower Back Pain In Electronic Medical Record Free Text (Preprint)
Alan Katz, Aman Jaiswal, Marcello Nesca et al. 2022. Cites: paper

Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database
Liudang He, Donghua Yang, Qiong Ding et al. Infectious Diseases and Therapy, 2022. Cites: paper

Cryoprecipitate Transfusion After Cardiac Surgery
Jake V. Hinton, Zhongyue Xing, Calvin M. Fletcher et al. Heart Lung and Circulation, 2022. Cites: paper

Machine Learning Based Hospital Mortality Prediction Using Synthetic Minority Oversampling Technique
Dhyey Nimish Shah, Devam Jariwala, Rajeev Kumar Gupta et al. IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2022. Cites: paper

A U-shaped association of tracheostomy timing with all-cause mortality in mechanically ventilated patients admitted to the intensive care unit: A retrospective cohort study
Jing-Ran Chen, Hao-Ran Gao, Yan-Lin Yang et al. Frontiers in Medicine, 2022. Cites: paper

Development and Validation of a Prediction Model for Need for Massive Transfusion During Surgery Using Intraoperative Hemodynamic Monitoring Data
Seung Mi Lee, Garam Lee, Tae Kyong Kim et al. JAMA Network Open, 2022. Cites: paper

Development and validation of MedDRA Tagger: a tool for extraction and structuring medical information from clinical notes
Marie Humbert‐Droz, Jessica Corley, Suzanne R Tamang et al. medRxiv, 2022. Cites: paper

Clinical Artificial Intelligence
Matthew B. A. McDermott, Bret A. Nestor, Peter Szolovits B. Clinics in Laboratory Medicine, 2022. Cites: paper

Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?
Kenichiro Ando, Takashi Okumura, Mamoru Komachi et al. PLOS Digital Health, 2022. Cites: paper

Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach
Syed Raza Bashir, Shaina Raza, Veysel Kocaman et al. Viruses, 2022. Cites: paper

Medical BigBERTa: An Optimized Transformer for Long Medical Document
Chérubin Mugisha, Incheon Paik. 2022. Cites: paper

Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis
Hirotaka Ieki, Kaoru Ito, Mike Saji et al. Communications Medicine, 2022. Cites: paper

Kernel Regression Utilizing External Information as Constraints
Chi-Shian Dai, Jun Shao. Statistica Sinica, 2022. Cites: paper

Predicting chronic diseases using clinical notes and fine-tuned transformers
Swati Saigaonkar, Vaibhav Eknath Narawade. IEEE Bombay Section Signature Conference (IBSSC), 2022. Cites: paper

Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction
Bryan P. Bednarski, Akash Deep Singh, Wenhao Zhang et al. Scientific Reports, 2022. Cites: paper

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding
Yucheng Jin, Yun Xiong, Shi Dan et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Pleural effusions are associated with adverse outcomes after cardiac surgery: a propensity-matched analysis
Fridtjof Schiefenhövel, Akira-Sebastian Poncette, Edward M. Boyle et al. Journal of Cardiothoracic Surgery, 2022. Cites: paper

Compound Density Networks for Risk Prediction using Electronic Health Records
Yuxi Liu, Shaowen Qin, Zhenhao Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

EHR2HG: Modeling of EHRs Data Based on Hypergraphs for Disease Prediction
Ziyou Sun, Xiaohui Yang, Zhiquan Feng et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Feature-Guided Logical Perception Network for Health Risk Prediction
Fuqiang Yu, Lizhen Cui, Yiming Cao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations
Yongsen Tan, Jiahui Huang, Jinhu Zhuang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values
Yuxi Liu, Shaowen Qin, Antonio Jimeno Yepes et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation
Xingwang Li, Yijia Zhang, Jian Wang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Machine understanding surgical actions from intervention procedure textbooks
Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto et al. Computers in Biology and Medicine, 2022. Cites: paper

Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER
Chérubin Mugisha, Incheon Paik. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Patient Condition Change Network for Safe Medication Recommendation
Ruobing Li, Jian Wang, Hongfei Lin et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Private Federated Framework for Health Data
Tanzir Ul Islam, Noman Mohammed, Dima Alhadidi. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Temporal Hypergraph for Personalized Clinical Pathway Recommendation
Fanglin Zhu, Shunyu Chen, Yonghui Xu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

Unified Fine-Grained Biomedical Entity Recognition as a Combination of Boundary Detection and Sequence Generation
Xue Li, Yang Yang, Mingchen Ye et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

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