Publications citing MIMIC-III Clinical Database Demo v1.4

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
Nayeon Kim, Yinhua Piao, Sun Kim. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

Clinical Text Anonymization, its Influence on Downstream NLP Tasks and the Risk of Re-Identification
Iyadh Ben Cheikh Larbi, Aljoscha Burchardt, Roland Roller. Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL SRW), 2023. Cites: paper

clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues
Kadir Bulut Özler, Steven J. Bethard. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper

Community Detection Algorithms in Healthcare Applications: A Systematic Review
Mehrdad Rostami, Mourad Oussalah, Kamal Berahmand et al. IEEE Access, 2023. Cites: paper

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
Ahmed Saeed Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto et al. Applied Computational Intelligence and Soft Computing, 2023. Cites: paper

CONSchema: Schema Matching with Semantics and Constraints
Kevin Wu, Jing Zhang, Joyce C. Ho. Communications in computer and information science, 2023. Cites: paper

Context-aware Medication Event Extraction from Unstructured Text
Noushin Salek Faramarzi, Meet R. Patel, Sai Harika Bandarupally et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper

Contextualized Graph Embeddings for Adverse Drug Event Detection
Ya Gao, Shaoxiong Ji, Tongxuan Zhang et al. Lecture notes in computer science, 2023. Cites: paper

Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs
Yuxi Liu, Zhenhao Zhang, Shaowen Qin et al. Lecture notes in computer science, 2023. Cites: paper

Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in “Antonio Cardarelli” Hospital
Emma Montella, Marta Rosaria Marino, Eliana Raiola et al. Lecture notes in computer science, 2023. Cites: paper

Cuffless Hypertension Detection using Swarm Support Vector Machine Utilizing Photoplethysmogram and Electrocardiogram
Nuryani Nuryani, Trio Pambudi Utomo, Nanang Wiyono et al. Journal of Biomedical Physics and Engineering, 2023. Cites: paper

Data Augmentation for Radiology Report Simplification
Ziyu Yang, Santhosh Cherian, Slobodan Vučetić. Findings of the Association for Computational Linguistics: EACL, 2023. Cites: paper

Datasets for Medical Sentiment Analysis
Kerstin Denecke. Springer eBooks, 2023. Cites: paper

DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language ModelsClinical Progress Note Summarization with Rules and Languague Models
Ming Liu, Dan Zhang, Weicong Tan et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Death Comes But Why: An Interpretable Illness Severity Predictions in ICU
Shaofei Shen, Miao Xu, Lin Yue et al. Lecture notes in computer science, 2023. Cites: paper

Debiasing patient embeddings for clinical applications
Lucy Brock. 2023. Cites: paper

Decreased urine output is associated with increased in-hospital mortality from sepsis-associated acute respiratory distress syndrome
Fuli Cao, Yiting Liu, Yake Lou et al. Signa Vitae, 2023. Cites: paper

Deep Learning Models for Automatic De-identification of Clinical Text
Ravichandra Sriram, Siva Sathya Sundaram, S. LourduMarie Sophie. IFIP advances in information and communication technology, 2023. Cites: paper

Deep Learning Technologies for Time Series Anomaly Detection in Healthcare: A Review
Xue Yang, Xuejun Qi, Xiaobo Zhou. IEEE Access, 2023. Cites: paper

Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
Amirreza Payandeh, Kourosh T. Baghaei, Pooya Fayyazsanavi et al. IEEE Access, 2023. Cites: paper

Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study
Racha Gouareb, Alban Bornet, Dimitrios Proios et al. Health Data Science, 2023. Cites: paper

Development and Comparative Analysis of an Early Prediction Model for Acute Kidney Injury within 72-Hours Post-ICU Admission Using Evidence from the MIMIC-III Database
Luo Yan, Wenling Ye, Yawei Sun et al. Discovery Medicine, 2023. Cites: paper

Development and validation of a clinical score combining the sequential organ failure assessment score with inflammation-based markers to predict outcome of patients with sepsis.
Junwei Zhang, Jianfeng Xie, Hui Chen et al. PubMed Central, 2023. Cites: paper

Development and validation of deep learning and BERT models for classification of lung cancer radiology reports
Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane et al. Informatics in Medicine Unlocked, 2023. Cites: paper

Development of pre-trained language models for clinical NLP in Spanish
Claudio Aracena, Jocelyn Dunstan. Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL SRW), 2023. Cites: paper

Digital Twin in Health Care
Sabri Atalay, Ufuk SÖNMEZ. Springer eBooks, 2023. Cites: paper

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media
Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis C. González et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation
Yan-Kai Tian, Yijia Zhang, Xingwang Li et al. Lecture notes in computer science, 2023. Cites: paper

Domain Adaptation: Challenges, Methods, Datasets, and Applications
Peeyush Singhal, Rahee A. Walambe, Sheela Ramanna et al. IEEE Access, 2023. Cites: paper

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks
Zhe Qu, Lizhen Cui, Yonghui Xu. Lecture notes in computer science, 2023. Cites: paper

Dual Attention and Patient Similarity Network for drug recommendation
Jialun Wu, Yuxin Dong, Zeyu Gao et al. Bioinformatics, 2023. Cites: paper

EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation
Ying Xiong, Xin Yang, Linjing Liu et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Early Detection of Late Onset Neonatal Sepsis Using Machine Learning Algorithms
Roshan David Jathanna, U. Dinesh Acharya, Leslie Lewis et al. Engineered Science, 2023. Cites: paper

Early Enteral Nutrition and Sepsis-Associated Acute Kidney Injury: A Propensity Score Matched Cohort Study Based on the MIMIC-III Database
Jun Wang, Li Jiang, Sheng Ding et al. Yonsei Medical Journal, 2023. Cites: paper

Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-Scale Biomedical Document Corpora
Naveen Shenoy, Pratham Nayak, Sarthak Jain et al. Lecture notes in computer science, 2023. Cites: paper

Efficient Analysis of Patient Length of Stay in Hospitals Using Classification and Clustering Approaches
Sheikh Sharfuddin Mim, Doina Logofătu, Florin Leon. Communications in computer and information science, 2023. Cites: paper

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
Daniel Saggau, Mina Rezaei, Bernd Bischl et al. Findings of the Association for Computational Linguistics: ACL (Findings of ACL), 2023. Cites: paper

e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation
Aaron Nicolson, Jason Dowling, Bevan Koopman. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Electronic Medical Record Recommendation System Based on Deep Embedding Learning with Named Entity Recognition
Yuqian Zheng, Xu Yan, Xin Cao et al. Lecture notes in computer science, 2023. Cites: paper

Emulating clinical pressure waveforms in cell culture using an Arduino-controlled millifluidic 3D-printed platform for 96-well plates
Adam Szmelter, Giulia Venturini, Rana J. Abbed et al. Lab on a Chip, 2023. Cites: paper

Enhancing Diagnosis Prediction in Healthcare With Knowledge-Based Recurrent Neural Networks
Hua Shen. IEEE Access, 2023. Cites: paper

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation
Long Phan, Tai Dang, Hieu Tran et al. Conference of the European Chapter of the Association for Computational Linguistics, 2023. Cites: paper

Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework
Xiaoqing Lu, Jijun Tong, Shudong Xia. Mathematical Biosciences & Engineering, 2023. Cites: paper

Evaluation of Sepsis‐1 and Sepsis‐3 Diagnostic Criteria in Patients with Sepsis in Intensive Care Unit
Qianying Song, Weiyu Fei. Journal of Healthcare Engineering, 2023. Cites: paper

Exploring Label Correlations for Quantification of ICD Codes
Isabel Coutinho, Bruno Martins. Lecture notes in computer science, 2023. Cites: paper

FFBDNet: Feature Fusion and Bipartite Decision Networks for Recommending Medication Combination
Zisen Wang, Ying Liang, Zhengjun Liu. Lecture notes in computer science, 2023. Cites: paper

Flexible Classification, Question-Answering and Retrieval with Siamese Neural Networks for Biomedical Texts
Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia. Lecture notes in computer science, 2023. Cites: paper

GDPR and FAIR Compliant Decision Support System Design for Triage and Disease Detection
Alper Karamanlıoğlu, Elif Tansu Sunar, Cihan Cetin et al. Advances in intelligent systems and computing, 2023. Cites: paper

Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks
Alireza Nik, Michael Alexander Riegler, Pål Halvorsen et al. Lecture notes in computer science, 2023. Cites: paper

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