Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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Generalizing through Forgetting -- Domain Generalization for Symptom Event Extraction in Clinical Notes
Sitong Zhou, Kevin Lybarger, Yetisgen, Meliha et al. PubMed, 2022. Cites: paper -
Integrated multimodal artificial intelligence framework for healthcare applications
Luis R. Soenksen, Yu Ma, Cynthia Zeng et al. npj Digital Medicine, 2022. Cites: paper -
Relationship between hyperglycaemia at admission and prognosis in patients with acute myocardial infarction: a retrospective cohort study
Linlin Liu, Jun Qian, Wenwen Yan et al. Postgraduate Medical Journal, 2022. Cites: paper -
An AI based digital-twin for prioritising pneumonia patient treatment
Neeraj Kavan Chakshu, Perumal Nithiarasu. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, 2022. Cites: paper -
Activated Partial Thromboplastin Time and Mortality in Coronary Artery Bypass Grafting Patients
HuanRui Zhang, Wen Tian, Guoxian Qi et al. Disease Markers, 2022. Cites: paper -
Algorithmic fairness datasets: the story so far
Alessandro Fabris, Stefano Messina, Gianmaria Silvello et al. Data Mining and Knowledge Discovery, 2022. Cites: paper -
A retrospective cohort study on the association between early coagulation disorder and short-term all-cause mortality of critically ill patients with congestive heart failure
Yiyang Tang, Qin Chen, Benhui Liang et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper -
Early transthoracic echocardiography and long-term mortality in moderate to severe ARDS: analysis of the MIMIC-III database
Qiuyu Liu, Yingkui Tang, Wu Tao et al. Research Square, 2022. Cites: paper -
Current status and trends in researches based on public intensive care databases: A scientometric investigation
Min Li, Shuzhang Du. Frontiers in Public Health, 2022. Cites: paper -
Exploring optimal granularity for extractive summarization of unstructured health records: Analysis of the largest multi-institutional archive of health records in Japan
Kenichiro Ando, Takashi Okumura, Mamoru Komachi et al. PLOS Digital Health, 2022. Cites: paper -
Insuffisance rénale aiguë en réanimation : facteurs de risque d'origine iatrogène et devenir à long terme
Matthieu Jamme. 2022. Cites: paper -
Natural language processing in clinical neuroscience and psychiatry: A review
Claudio Crema, Giuseppe Attardi, Daniele Sartiano et al. Frontiers in Psychiatry, 2022. Cites: paper -
A study into patient similarity through representation learning from medical records
Hoda Memarzadeh, Nasser Ghadiri, Matthias Samwald A et al. Knowledge and Information Systems, 2022. Cites: paper -
Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study
Ganggui Zhu, Zaixiang Fu, Taian Jin et al. Frontiers in Neurology, 2022. Cites: paper -
Effectiveness of sodium bicarbonate infusion on mortality for elderly septic patients with acute metabolic acidosis
Sai Huang, Yaojun Peng, Lili Wang et al. Frontiers in Pharmacology, 2022. Cites: paper -
Construction of a Prediction Model for the Mortality of Elderly Patients with Diabetic Nephropathy
Li Wang, Yan Lv. Journal of Healthcare Engineering, 2022. Cites: paper -
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion
Fuqiang Yu, Lizhen Cui, Huanhuan Chen et al. IEEE Transactions on Neural Networks and Learning Systems, 2022. Cites: paper -
Two-Step Approaches to Overcome Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge
S. Jayakumar Venkat, Hyoung Woo Chang, Hyun Joo Kim et al. Research Square, 2022. Cites: paper -
Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation
M Asad Bin Hameed, Zareen Alamgir. Computers in Biology and Medicine, 2022. Cites: paper -
Impact of lactate dehydrogenase on prognosis of patients undergoing cardiac surgery
Yu Zeng, Yuhe Zhao, Shuren Dai et al. BMC Cardiovascular Disorders, 2022. Cites: paper -
FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model
Guohui Xiao, Emily Pfaff, Eric Prud’hommeaux et al. Journal of Biomedical Informatics, 2022. Cites: paper -
Methodological Analysis of Blood Pressure Learning using Boro Receptors Model
Hemanta Kumar Bhuyan, Keerthi Priya, Kachihalli Milana. 2022. Cites: paper -
Multitask Balanced and Recalibrated Network for Medical Code Prediction
Wei Sun, Shaoxiong Ji, Erik Cambria et al. ACM Transactions on Intelligent Systems and Technology, 2022. Cites: paper -
Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit
Hsin-Hsiung Chang, Jung-Hsien Chiang, Chi-Shiang Wang et al. Journal of Clinical Medicine, 2022. Cites: paper -
Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases
Dabei Cai, Tingting Xiao, Ailin Zou et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper -
Serum Anion Gap Level Predicts All-Cause Mortality in Septic Patients: A Retrospective Study Based on the MIMIC III Database
Yao Kui Zhu, Zonglin He, Ya Jin et al. Journal of Intensive Care Medicine, 2022. Cites: paper -
A code-mixed task-oriented dialog dataset for medical domain
Suman Dowlagar, Radhika Mamidi. Computer Speech & Language, 2022. Cites: paper -
An inverse classification framework with limited budget and maximum number of perturbed samples
Jaehoon Koo, Diego Klabjan, Jean Utke. Expert Systems with Applications, 2022. Cites: paper -
Association of Monocyte-to-Lymphocyte and Neutrophil-to-Lymphocyte Ratios With Persistent Critical Illness in Patients With Severe Trauma
Beiyuan Zhang, Yunhong Han, Xiancheng Chen et al. Journal of Trauma Nursing, 2022. Cites: paper -
Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit
Eric Raphael Gottlieb, Mathew C. Samuel, Joseph Vincent Bonventre et al. Advances in Chronic Kidney Disease, 2022. Cites: paper -
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record
Yuri Ahuja, Yuesong Zou, Aman D Verma et al. Journal of Biomedical Informatics, 2022. Cites: paper -
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al. Nature Medicine, 2022. Cites: paper -
Multimodal Recommender System in the Prediction of Disease Comorbidity
Aashish Cheruvu. International Conference on Transdisciplinary AI (TransAI), 2022. Cites: paper -
Natural Language Processing and Machine Learning to Identify People Who Inject Drugs in Electronic Health Records
David Goodman‐Meza, Amber B. Tang, Babak Aryanfar et al. Open Forum Infectious Diseases, 2022. Cites: paper -
Natural Language Processing in Nephrology
Tielman T. Van Vleck, Douglas R. Farrell, Lili Chan. Advances in Chronic Kidney Disease, 2022. Cites: paper -
Prediction of Inhospital Mortality in Critically Ill Patients With Sepsis: Confirmation of the Added Value of 24-Hour Lactate to Acute Physiology and Chronic Health Evaluation IV
Meryem Baysan, M. Sesmu Arbous, Ewout Willem Steyerberg et al. Critical Care Explorations, 2022. Cites: paper -
Subpopulation-specific machine learning prognosis for underrepresented patients with double prioritized bias correction
Sharmin Afrose, Wenjia Song, Charles B. Nemeroff et al. Communications Medicine, 2022. Cites: paper -
DataWords: Getting Contrarian with Text, Structured Data and Explanations
Stephen I. Gallant, Mirza Nasir Hossain. Lecture notes in networks and systems, 2022. Cites: paper -
Evaluating and Visualizing the Contribution of ECG Characteristic Waveforms for PPG-Based Blood Pressure Estimation
Gang Ma, Yuhang Chen, Wenliang Zhu et al. Micromachines, 2022. Cites: paper -
Generative Adversarial Networks in Time Series: A Systematic Literature Review
Eoin Brophy, Zhengwei Wang, Qi She et al. ACM Computing Surveys, 2022. Cites: paper -
The Association of Renin-Angiotensin System Blockades and Mortality in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease and Acute Respiratory Failure: A Retrospective Cohort Study
Zhishen Ruan, Dan Li, Yuanlong Hu et al. International Journal of COPD, 2022. Cites: paper -
The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach
Dayang Liang, Huiyi Deng, Yunlong Liu. Applied Intelligence, 2022. Cites: paper -
Combining Chains of Bayesian Models with Markov Melding
Andrew A. Manderson, Robert J. B. Goudie. Bayesian Analysis, 2022. Cites: paper -
Artificial Intelligence in intensive care medicine: Bibliometric Analysis (Preprint)
Ri Ning Tang, Shuyi Zhang, Chenling Ding et al. 2022. Cites: paper -
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Nora Mahmoud El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry et al. Soft Computing, 2022. Cites: paper -
External validation of the hospital frailty risk score among older adults receiving mechanical ventilation
Eric J. Sy, Sandy Kassir, Jonathan F. Mailman et al. Scientific Reports, 2022. Cites: paper -
Application of Machine Learning for Clinical Subphenotype Identification in Sepsis
Chang Hu, Yiming Li, Fengyun Wang et al. Infectious Diseases and Therapy, 2022. Cites: paper -
BioGPT: generative pre-trained transformer for biomedical text generation and mining
Renqian Luo, Liai Sun, Yingce Xia et al. Briefings in Bioinformatics, 2022. Cites: paper -
An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure
Jianwei Zheng, Islam Abudayyeh, Georgi Mladenov et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper -
Artificial Intelligence-Based Medical Data Mining
Amjad Zia, Muzzamil Aziz, Ioana Popa et al. Journal of Personalized Medicine, 2022. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.