Publications citing MIMIC-III Clinical Database Demo v1.4

Predicting Critically Ill Patients Short-Term Mortality Risk Using Routinely Collected Data: Deep Learning Model Development, Validation, and Explanation
Shangping Zhao, Pan Liu, Guohui Li et al. 系统科学与信息学报(英文), 2023. Cites: paper

Predicting Drug Treatment for Hospitalized Patients with Heart Failure
Linyi Zhou, Ioanna Miliou. Communications in computer and information science, 2023. Cites: paper

Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks
Steven Kessler, Dennis Schroeder, Sergej Korlakov et al. Digital Health, 2023. Cites: paper

Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity
Manfu Ma, Penghui Sun, Yong Li et al. Mathematical Biosciences & Engineering, 2023. Cites: paper

Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach
Min-Kyung Jung, Daesun Ahn, Chan Min Park et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit
Jonas Chromik, Bjarne Pfitzner, Nina Ihde et al. Communications in computer and information science, 2023. Cites: paper

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing
Paul Youssef, Jörg Schlötterer, Christin Seifert. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al. Clinical Natural Language Processing Workshop (ClinicalNLP), 2023. Cites: paper

Quality Control, Data Cleaning, Imputation
Dawei Liu, Hanne Oberman, Johanna Muñoz et al. Springer eBooks, 2023. Cites: paper

Race, Gender, and Age Biases in Biomedical Masked Language Models
Michelle J. Kim, Junghwan Kim, Kristen Johnson. Findings of the Association for Computational Linguistics: ACL (Findings of ACL), 2023. Cites: paper

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
Dave Van Veen, Cara Van Uden, Maayane Attias et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

RadLing: Towards Efficient Radiology Report Understanding
Rikhiya Ghosh, Oladimeji Farri, Sanjeev Kumar Karn et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

Reinforcement Learning Models and Algorithms for Diabetes Management
Kok‐Lim Alvin Yau, Yung-Wey Chong, Xiumei Fan et al. IEEE Access, 2023. Cites: paper

Representing Health Data and Medical Knowledge for Deep Learning
Emil Riis Hansen. 2023. Cites: paper

Sample Size Requirements for Electronic Phenotyping Studies
Satabdi Saha, Xinying Fang, Bingqi Han et al. SSRN Electronic Journal, 2023. Cites: paper

SDOH-NLI: a Dataset for Inferring Social Determinants of Health from Clinical Notes
Adam D. Lelkes, Eric Loreaux, Tal Schuster et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports
Juraj Vladika, Florian Matthes. International Workshop on Semantic Evaluation (SemEval), 2023. Cites: paper

Semantic Enrichment of Explanations of AI Models for Healthcare
Luca Corbucci, Anna Monreale, Cecilia Panigutti et al. Lecture notes in computer science, 2023. Cites: paper

Sepsis Prediction Method Based on Neural Network Combined with Multiple Life Characteristics
亚君何. Modeling and Simulation, 2023. Cites: paper

Sequential Gaussian Processes for Online Learning of Nonstationary Functions
Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson et al. IEEE Transactions on Signal Processing, 2023. Cites: paper

shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
Sanjeev Kumar Karn, Rikhiya Ghosh, P Kusuma et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping
Enrique Valero-Leal, Manuel Campos, José M. Juárez. Communications in computer and information science, 2023. Cites: paper

Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding
Yang Wang, Xueping Peng, Tao Shen et al. Lecture notes in computer science, 2023. Cites: paper

Stress-induced Hyperglycemia Ratio as an Independent Risk Factor of In-hospital Mortality in Nonresuscitation Intensive Care Units: A Retrospective Study
Yiming Tian, Rui Wang, Mengmeng Zhang et al. Clinical Therapeutics, 2023. Cites: paper

Study on the tolerance of motion artifacts in estimating variance of blood pressure by single PPG
Chih-Lin Chang, Lei Wang. AIP conference proceedings, 2023. Cites: paper

Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data
Alexander Lacki, Antonio Martínez-Millana. Lecture notes in computer science, 2023. Cites: paper

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains
Koustava Goswami, Lukas Lange, Jun Araki et al. Conference of the European Chapter of the Association for Computational Linguistics, 2023. Cites: paper

Systematic review of natural language processing for recurrent cancer detection from electronic medical records
Ekapob Sangariyavanich, Wanchana Ponthongmak, Amarit Tansawet et al. Informatics in Medicine Unlocked, 2023. Cites: paper

Taxonomy-Based Automation of Prior Approval using Clinical Guidelines
inQbator AI at eviCore Healthcare, Evernorth Health Services, USA, Saranya Krishnamoorthy, Ayush Singh et al. International conference Recent advances in natural language processing, 2023. Cites: paper

Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes
Gaurav Kolhatkar, Aditya Paranjape, Omkar Gokhale et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence Retrieval
Abel Corrêa Dias, Filipe Dias, Higor Moreira et al. International Workshop on Semantic Evaluation (SemEval), 2023. Cites: paper

Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models
Hao Li, Yuping Wu, Viktor Schlegel et al. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

Temporal convolution attention model for sepsis clinical assistant diagnosis prediction
Yong Li, Yang Wang. Mathematical Biosciences & Engineering, 2023. Cites: paper

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
Jiahuan Yan, Haojun Gao, Kai Zhang et al. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Text Embeddings Reveal (Almost) As Much As Text
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov et al. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Cites: paper

The Future of Patient Monitoring
Daniel E. Ehrmann, Azadeh Assadi, Danny Eytan et al. Springer eBooks, 2023. Cites: paper

The Value of Short-term Physiological History and Contextual Data in Predicting Hypotension in the ICU Settings
Mina Chookhachizadeh Moghadam, Ehsan Masoumi, Samir M. Kendale et al. Computer Methods and Programs in Biomedicine Update, 2023. Cites: paper

Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records
Zhen Yang, Frank Emmert‐Streib. IEEE Access, 2023. Cites: paper

Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities
Zhihong Chen, Maya Varma, Xiang Wan et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

Towards Interpretable Multimodal Predictive Models for Early Mortality Prediction of Hemorrhagic Stroke Patients.
Forhan Bin Emdad, Shubo Tian, Esha Nandy et al. PubMed Central, 2023. Cites: paper

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation
Shaoteng Zhang, Jianpeng Zhang, Yutong Xie et al. Lecture notes in computer science, 2023. Cites: paper

Trigger Warning Assignment as a Multi-Label Document Classification Problem
Matti Wiegmann, Magdalena Anna Wolska, Christopher Schröder et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

TRSRD: a database for research on risky substances in tea using natural language processing and knowledge graph-based techniques
Yongmei Wang, Peng Wang, Yongheng Zhang et al. Database, 2023. Cites: paper

Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data
Rumeng Li, Xun Wang, Hong Qing Yu. Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023. Cites: paper

Two-Stage Multilayer Perceptron Hawkes Process
Xiang Xing, Jian–wei Liu, Zi- hao Cheng. Communications in computer and information science, 2023. Cites: paper

Understanding Silent Failures in Medical Image Classification
Till J. Bungert, Levin Kobelke, Paul F. Jäger. Lecture notes in computer science, 2023. Cites: paper

Using Artificial Intelligence to Generate Synthetic Health Data
Federico Girosi, Sai Prathyush Katragadda, Joshua Steier et al. RAND Corporation eBooks, 2023. Cites: paper

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization
Tongnian Wang, Xingmeng Zhao, Anthony Rios. Workshop on Biomedical Language Processing (BioNLP), 2023. Cites: paper

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien H. Nguyen, Jake A. Smith et al. Proceedings of the conference - Association for Computational Linguistics. Meeting, 2023. Cites: paper

What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection
Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey et al. Conference of the European Chapter of the Association for Computational Linguistics, 2023. Cites: paper

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