Cited by
MIMIC-III Waveform Database (v1.0)
7936 publications cite any version of this project or its primary paper, newest first.
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Algorithmic fairness datasets: the story so far
Alessandro Fabris, Messina S., Gianmaria Silvello et al. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/), 2022. Cites: paper -
A Machine Learning Approach for Predicting the Death Time and Mortality
Abhishek Sharma, Digbijoy Dasgupta, Shreya Bose et al. Algorithms for intelligent systems, 2022. Cites: paper -
A Machine Learning Pipeline for Mortality Prediction in the ICU
Yang Sun, Yi‐Hui Zhou. International Journal of Digital Health, 2022. Cites: paper -
A Multi-Headed Transformer Approach for Predicting the Patient’s Clinical Time-Series Variables From Charted Vital Signs
Gaspard Harerimana, Jong Wook Kim, Beakcheol Jang. IEEE Access, 2022. Cites: paper -
An Adversarial Perspective on Accuracy, Robustness, Fairness, and Privacy: Multilateral-Tradeoffs in Trustworthy ML
Alex Gittens, Bülent Yener, Moti M. Yung. IEEE Access, 2022. Cites: paper -
AnEMIC: A Framework for Benchmarking ICD Coding Models
Ju-Yong Kim, Abheesht Sharma, Suhas Shanbhogue et al. Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP), 2022. Cites: paper -
An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups
Heereen Shim, Dietwig Lowet, Stijn Luca et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2022. Cites: paper -
A Nomogram to Better Predict the In‐Hospital Mortality of Trauma Patients with Sepsis in the Intensive Care Unit
Jing Qi, Qin Xie, Zhen-Zhou Li et al. International Journal of Clinical Practice, 2022. Cites: paper -
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge
Tao Wang, Linhai Zhang, Chenchen Ye et al. Findings of the Association for Computational Linguistics: ACL (Findings of ACL), 2022. Cites: paper -
A Novel Machine Learning-Assisted Clinical Diagnosis Support Model for Early Identification of Pancreatic Injury in Blunt Abdominal Trauma Patients at the Bedside: A Cross-National Study
Sai Huang, Xuan Zhang, Bo Yang et al. SSRN Electronic Journal, 2022. Cites: paper -
Antithrombotic Therapy Improves ICU Mortality of Septic Patients with Peripheral Vascular Disease
Shiqi Yuan, Chong Chen, Fengshuo Xu et al. International Journal of Clinical Practice, 2022. Cites: paper -
Application of Aligned-UMAP to Longitudinal Biomedical Studies
Anant Dadu, Vipul K. Satone, Rachneet Kaur et al. Patterns, 2022. Cites: paper -
Application of interpretable machine learning for early prediction of prognosis in acute kidney injury
Chang Hu, Qing Tan, Qinran Zhang et al. Computational and Structural Biotechnology Journal, 2022. Cites: paper -
Applying AI to Manage Acute and Chronic Clinical Condition
Rachael Hagan, Charles J. Gillan, Murali Shyamsundar. Springer eBooks, 2022. Cites: paper -
Are professional guidelines and regulatory standards fit for purpose?
Evelyn J. S. Hovenga. Elsevier eBooks, 2022. Cites: paper -
A Residual CNN Model for ICD Assignment
Darryl Lin Wei Cheng, Choo‐Yee Ting, Chiung Ching Ho. 2022. Cites: paper -
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis
Solam Lee, Yuseong Chu, Jiseung Ryu et al. Yonsei Medical Journal, 2022. Cites: paper -
Artificial Intelligence for Medical Diagnosis
Jonathan G. Richens, Albert Buchard. Springer eBooks, 2022. Cites: paper -
Artificial Intelligence in Infectious Diseases
Timothy M. Rawson, Nathan Peiffer‐Smadja, Alison Helen Holmes. Springer eBooks, 2022. Cites: paper -
Artificial Intelligence in Predicting Kidney Function and Acute Kidney Injury
Eiichiro Uchino, Noriaki Sato, Yasushi Okuno. Springer eBooks, 2022. Cites: paper -
Assessing Clinical Usefulness of Readmission Risk Prediction Model
Kareen Teo, Ching Wai Yong, Joon Huang Chuah et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2022. Cites: paper -
AS-SIM: An Approach to Action-State Process Model Discovery
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi et al. Lecture notes in computer science, 2022. Cites: paper -
A Survey on Relation Extraction
Kartik Detroja, C.K. Bhensdadia, Brijesh Bhatt. Intelligent Systems with Applications, 2022. Cites: paper -
Automated ICD-9 Medical Code Assignment from Given Free Text Using Deep Learning Approach
Neha Nawalkar, Vahida Attar, Shrida P. Kalamkar. Lecture notes in networks and systems, 2022. Cites: paper -
Automatic Classification of Cancer Pathology Reports: A Systematic Review
Thiago das Virgens Santos, Amara Tariq, Judy Wawira Gichoya et al. Journal of Pathology Informatics, 2022. Cites: paper -
Automatic Data Imputation in Time Series Processing Using Neural Networks for Industry and Medical Datasets
Juan Ignacio Porta, Martín Ariel Domínguez, Francisco A. Tamarit. Communications in computer and information science, 2022. Cites: paper -
Automatic ICD Coding Based on Multi-granularity Feature Fusion
Ying Yu, Junwen Duan, Han Jiang et al. Lecture notes in computer science, 2022. Cites: paper -
Automatic Text Summarization using Document Clustering Named Entity Recognition
Senthamizh Selvan. R, K. Arutchelvan. International Journal of Advanced Computer Science and Applications, 2022. Cites: paper -
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Perez-Lebel, Gael P. Varoquaux, Marine Le Morvan et al. GigaScience, 2022. Cites: paper -
BePCon: A Photoplethysmography-Based Quality-Aware Continuous Beat-to-Beat Blood Pressure Measurement Technique Using Deep Learning
Monalisa Singha Roy, Rajarshi Gupta, Kaushik Das Sharma. IEEE Transactions on Instrumentation and Measurement, 2022. Cites: paper -
BERT for Long Documents: A Case Study of Automated ICD Coding
Arash Afkanpour, Shabir Adeel, Hansenclever F. Bassani et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2022. Cites: paper -
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan, Zheng Yuan, Ruyi Gan et al. Workshop on Biomedical Language Processing (BioNLP), 2022. Cites: paper -
Biomedical Literature Mining for Repurposing Laboratory Tests
Finn Kuusisto, Ross Kleiman, Jeremy C. Weiss. Methods in molecular biology, 2022. Cites: paper -
BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning
Kamal raj Kanakarajan, Bhuvana Kundumani, Abhijith Neil Abraham et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2022. Cites: paper -
Building a Clinically-Focused Problem List From Medical Notes
Amir Feder, Itay Laish, Shashank Agarwal et al. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2022. Cites: paper -
Building medical ontologies relying on communicative discourse trees
Boris A. Galitsky, Dmitry Ilvovsky. Elsevier eBooks, 2022. Cites: paper -
Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers
Graciela Gonzalez‐Hernandez, Martin Krallinger, Monica A. Muñoz et al. Database, 2022. Cites: paper -
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction
Yang Xiao, Ning Liu, Jianbo Qiao et al. Lecture notes in computer science, 2022. Cites: paper -
ClinicalT5: A Generative Language Model for Clinical Text
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2022. Cites: paper -
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding
Zheng Yuan, Chuanqi Tan, Songfang Huang. Annual Meeting of the Association for Computational Linguistics (ACL), 2022. Cites: paper -
Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports
Joshua Levy, Nishitha Vattikonda, Christian Haudenschild et al. Journal of Pathology Informatics, 2022. Cites: paper -
Comparison of Neural Language Modeling Pipelines for Outcome Prediction From Unstructured Medical Text Notes
Chérubin Mugisha, Incheon Paik. IEEE Access, 2022. Cites: paper -
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels
Vithya Yogarajan, Bernhard Pfahringer, Tony C. Smith et al. Lecture notes in computer science, 2022. Cites: paper -
ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence
Yibo Hu, MohammadSaleh Hosseini, Erick Skorupa Parolin et al. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2022. Cites: paper -
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource Language
Henning Schäfer, Ahmad Idrissi-Yaghir, Péter Horn et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2022. Cites: paper -
Cross-Model Conjunctive Queries over Relation and Tree-Structured Data
Yuxing Chen, Valter Uotila, Jiaheng Lu et al. Lecture notes in computer science, 2022. Cites: paper -
Cuffless Blood Pressure Estimation Based on Both Artificial and Data-Driven Features from Plethysmography
Huan Li, Yue Wang, Guo Yunpeng. Communications in computer and information science, 2022. Cites: paper -
Curriculum Offline Reinforcement Learning with Progressive Action Space in Intelligent Healthcare Decision-Making
Chao Yu, Qikai Huang. SSRN Electronic Journal, 2022. Cites: paper -
Data-Driven Disease Progression Modeling
Kenney Ng, Mohamed F. Ghalwash, Prithwish Chakraborty et al. Health informatics, 2022. Cites: paper -
Data-driven model for identifying related pharmaceutically-significant entities in clinical texts
Alexander G. Sboev, Gleb Rylkov, Рыбка Роман Борисович et al. AIP conference proceedings, 2022. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.