Cited by
MIMIC-III Clinical Database Demo (v1.4)
7975 publications cite any version of this project or its primary paper, newest first.
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Harnessing Big Data Analytics for Healthcare: A Comprehensive Review of Frameworks, Implications, Applications, and Impacts
Awais Ahmed, Rui Xi, Mengshu Hou et al. IEEE Access, 2023. Cites: paper -
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies
Ze Cao, Jian–wei Liu, Zi-hao Cheng. Communications in computer and information science, 2023. Cites: paper -
Heart failure disease prediction and stratification with temporal electronic health records data using patient representation
Liang Ye, Chonghui Guo. Journal of Applied Biomedicine, 2023. Cites: paper -
Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery
Yiwen Jiang, Wentao Xie. Communications in computer and information science, 2023. Cites: paper -
Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang, Junyu Luo, Jiaqi Wang et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper -
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images
Amarachi Blessing Mbakwe, Lyuyang Wang, Mehdi Moradi et al. Lecture notes in computer science, 2023. Cites: paper -
Hospital Discharge Summarization Data Provenance
Paul Landes, Aaron Jeremy Chaise, Kunal Patel et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper -
HSGA: A Hybrid LSTM-CNN Self-Guided Attention to Predict the Future Diagnosis From Discharge Narratives
Gaspard Harerimana, Gun Il Kim, Jong Wook Kim et al. IEEE Access, 2023. Cites: paper -
Hypergraph Transformers for EHR-based Clinical Predictions.
Ran Xu, Mohammed Kumail Ali, Joyce C. Ho et al. PubMed Central, 2023. Cites: paper -
ICF-Based assessment and documentation of functioning and disability
Frontiers research topics, 2023. Cites: paper -
Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents
Geunyeong Jeong, Juoh Sun, Seokwon Jeong et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles
Weipeng Zhou, Majid Afshar, Dmitriy Dligach et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Vincent Jeanselme, Maria De‐Arteaga, Zhe Zhang et al. SSRN Electronic Journal, 2023. Cites: paper -
INCOGNITUS: A Toolbox for Automated Clinical Notes Anonymization
Bruno Ribeiro, Vitor Guerra Rolla, Ricardo Santos. Conference of the European Chapter of the Association for Computational Linguistics, 2023. Cites: paper -
Intersectionality and Testimonial Injustice in Medical Records
Kenya S. Andrews, Bhuvni Shah, Lu Cheng. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment
Zihao Yang, Chenkang Zhang, Muru Wu et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper -
Justifying Multi-label Text Classifications for Healthcare Applications
João Figueira, Gonçalo M. Correia, Michalina Strzyz et al. Lecture notes in computer science, 2023. Cites: paper -
KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization
Jinge Wu, Daqian Shi, Abul Hasan et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper -
Knowledge graph enrichment from clinical narratives using NLP, NER, and biomedical ontologies for healthcare applications
Anjali Thukral, Shivani Dhiman, Ravi Meher et al. International Journal of Information Technology, 2023. Cites: paper -
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction
Simon Méoni, Éric Villemonte de la Clergerie, Théo Ryffel. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper -
Leveraging Natural Language Processing and Clinical Notes for Dementia Detection
Ming Liu, Richard J Beare, Taya Annabelle Collyer et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
Leveraging TFR-BERT for ICD Diagnoses Ranking
Ana Silva, Pedro Chaves, Sara Rijo et al. Lecture notes in computer science, 2023. Cites: paper -
Leveraging Unlabeled Clinical Data to Boost Performance of Risk Stratification Models for Suspected Acute Coronary Syndrome.
Yutong Wu, David Conlan, Siegfried Perez et al. PubMed Central, 2023. Cites: paper -
Long Text Classification using Transformers with Paragraph Selection Strategies
Mohit Tuteja, Daniel González I Juclà. Natural Legal Language Processing Workshop (NLLP), 2023. Cites: paper -
Machine Learning for Multimodal Electronic Health Records-Based Research: Challenges and Perspectives
Ziyi Liu, Jiaqi Zhang, Yongshuai Hou et al. Communications in computer and information science, 2023. Cites: paper -
Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review
Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath. International Journal of Environmental Research and Public Health, 2023. Cites: paper -
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section
Hong‐Yi Zheng, Yixin Zhu, Lavender Yao Jiang et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper -
MDACE: MIMIC Documents Annotated with Code Evidence
Hua Nong Cheng, Rana Jafari, April Russell et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper -
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Zexue He, Yu Wang, An Yan et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper -
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking
Yutong Xie, Lin Gu, Tatsuya Harada et al. Lecture notes in computer science, 2023. Cites: paper -
MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines
Vincent A. Nguyen, Sarvnaz Karimi, Maciej Rybinski et al. International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), 2023. Cites: paper -
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
Mixed-domain Language Modeling for Processing Long Legal Documents
Wenyue Hua, Yuchen Zhang, Zhe Chen et al. Natural Legal Language Processing Workshop (NLLP), 2023. Cites: paper -
Modeling and simulation of biomedical systems
Miodrag Bolić. Elsevier eBooks, 2023. Cites: paper -
Modelling Temporal Document Sequences for Clinical ICD Coding
Boon Liang Clarence Ng, Diogo Santos, Marek Rei. Conference of the European Chapter of the Association for Computational Linguistics, 2023. Cites: paper -
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction
Yan Miao, Lequan Yu. Lecture notes in computer science, 2023. Cites: paper -
Natural Language Processing and Text Mining (Turning Unstructured Data into Structured)
Ayoub Bagheri, Anastasia Giachanou, Pablo J. Mosteiro et al. Springer eBooks, 2023. Cites: paper -
NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial Data
Chao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng et al. International Workshop on Semantic Evaluation (SemEval), 2023. Cites: paper -
NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers
Prakhar Mishra, Ravi Theja Desetty. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper -
New Siamese Neural Networks for Text Classification and Ontologies Alignment
Safaa Menad, Wissame Laddada, Saïd Abdeddaïm et al. Lecture notes in computer science, 2023. Cites: paper -
On the Impact of Cross-Domain Data on German Language Models
Amin Dada, Aokun Chen, Peng Cheng et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper -
Outcome prediction for critical care patients with respiratory neoplasms using a multilayer perceptron neural network
Beatriz Nistal‐Nuño. Einstein (São Paulo), 2023. Cites: paper -
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper -
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization
Jean-Benoit Delbrouck, Maya Varma, Pierre Chambon et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper -
PaniniQA: Enhancing Patient Education Through Interactive Question Answering
Pengshan Cai, Zonghai Yao, Fei Liu et al. Transactions of the Association for Computational Linguistics, 2023. Cites: paper -
Patient Mortality Prediction Based on Two-Layer Attention Neural Network
Lin Wang, Zhengzhong Wang, Quanrun Song et al. Lecture notes in computer science, 2023. Cites: paper -
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection
Ella Lan. IEEE Winter Conference on Applications of Computer Vision, 2023. Cites: paper -
Personalized Medicine with Advanced Analytics
Hongwei Wang, Dai Feng, Yingyi Liu. Springer eBooks, 2023. Cites: paper -
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack
Mahyar Abbasian, Elahe Khatibi, Iman Azimi et al. Procedia Computer Science, 2023. Cites: paper -
PPG Signal and application in the medical field
Khanh Duy Phan, Thanh Tùng Lưu, Duy An Huynh. Science & Technology Development Journal - Engineering and Technology, 2023. Cites: paper
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