Publications citing MIMIC-III Waveform Database Matched Subset v1.0

A self-supervised language model selection strategy for biomedical question answering
Negar Arabzadeh, Ebrahim Bagheri A. Journal of Biomedical Informatics, 2023. Cites: paper

A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit
Jinhu Zhuang, Haofan Huang, Song Jiang et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi et al. Artificial Intelligence in Medicine, 2023. Cites: paper

A novel web-based calculator to predict 30-day all-cause in-hospital mortality for 7,202 elderly patients with heart failure in ICUs: a multicenter retrospective cohort study in the United States
Zhongjian Wang, Jian V. Huang, Yang Zhang et al. Frontiers in Medicine, 2023. Cites: paper

A privacy-preserving word embedding text classification model based on privacy boundary constructed by deep belief network
Bo Ma, Edmund M-K Lai, Wei Qi Yan et al. Multimedia Tools and Applications, 2023. Cites: paper

Artificial intelligence in critical care
Chao-Ping Wu, Piyush Mathur. Elsevier eBooks, 2023. Cites: paper

A Survey of Privacy Attacks in Machine Learning
María Rigaki, Sebastián García. ACM Computing Surveys, 2023. Cites: paper

Taming Irregular Cardiac Signals for Biometric Identification
Weizheng Wang, Qing Wang, Marco Antonio Zúñiga. ACM Transactions on Sensor Networks, 2023. Cites: paper

The Artificial Intelligence Clinician learns mechanical ventilation in patients with moderate-severe acute respiratory distress syndrome: A multicenter observational study (Preprint)
Peng Zhang, Ying Liu, Zhen Li et al. 2023. Cites: paper

Sequence Labeling for Disambiguating Medical Abbreviations
Mücahit Çevik, Sanaz Mohammad Jafari, Mitchell Myers et al. Journal of Healthcare Informatics Research, 2023. Cites: paper

Text Classification of Cancer Clinical Trial Eligibility Criteria
Yumeng Yang, Soumya Jayaraj, Ethan Bernard Ludmir et al. PubMed, 2023. Cites: paper

Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: A Retrospective Observational Study (Preprint)
Maruthi Kumar Mutnuri, Henry T. Stelfox, Nils D. Forkert et al. 2023. Cites: paper

Contrastive diagnostic embedding (CDE) model for automated coding – A case study using emergency department encounters
Amara Tariq, Kris Goddard, Praneetha Elugunti et al. International Journal of Medical Informatics, 2023. Cites: paper

Natural Language Processing for Drug Discovery Knowledge Graphs: Promises and Pitfalls
J. Charles G. Jeynes, Tim James, Matthew Corney. Methods in molecular biology, 2023. Cites: paper

Synthetic Data as a Proxy for Real-World Electronic Health Records in the Patient Length of Stay Prediction
Dominik Bietsch, Robert Stahlbock, Stefan Voß. Sustainability, 2023. Cites: paper

The lactate to albumin ratio linked to all-cause mortality in critically ill patients with septic myocardial injury
Sheng Chen, Senhong Guan, Zhaohan Yan et al. Frontiers in Cardiovascular Medicine, 2023. Cites: paper

Using Kernel Density Estimation in Knowledge Distillation to Construct the Prediction Model for Bipolar Disorder Patients
Yu-Shiang Tseng, Meng-Han Yang. Applied Sciences, 2023. Cites: paper

Application and Challenges of Machine Learning in Healthcare
Krishna Kumar Yadav, Ankush Gaurav. International Journal for Research in Applied Science and Engineering Technology, 2023. Cites: paper

Assessing the Impact of Pretraining Domain Relevance on Large Language Models Across Various Pathology Reporting Tasks
Yunrui Lu, Gokul Srinivasan, Sarah Masud Preum et al. medRxiv, 2023. Cites: paper

The effects of gender bias in word embeddings on patient phenotyping in the mental health domain
Gizem Soğancıoğlu, Heysem Kaya, Albert Ali Salah. International Conference on Affective Computing and Intelligent Interaction and workshops, 2023. Cites: paper

Artificial intelligence in cardiac critical care
Peter C. Laussen. Elsevier eBooks, 2023. Cites: paper

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Elsevier eBooks, 2023. Cites: paper

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
Hiba Ahsan, Denis Jered McInerney, Jisoo Kim et al. PubMed, 2023. Cites: paper

Automated ICD coding using extreme multi-label long text transformer-based models
Leibo Liu, Oscar Perez‐Concha, Anthony N Nguyen et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha et al. Scientific Data, 2023. Cites: paper

Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model
Alireza Tavakolian, Alireza Rezaee, Farshid Hajati et al. Future Internet, 2023. Cites: paper

RGB Camera-Based Blood Pressure Measurement Using U-Net Basic Generative Model
Seung Hyun Kim, Hyeji Lim, Junho Baek et al. Electronics, 2023. Cites: paper

Bayesian Analysis Used to Identify Clinical and Laboratory Variables Capable of Predicting Progression to Severe Dengue among Infected Pediatric Patients
Josselin Carolina Corzo-Gómez, Susana Guadalupe Guzmán-Aquino, Cruz Vargas‐De‐León et al. Children, 2023. Cites: paper

Embracing the uncertainty in human–machine collaboration to support clinical decision-making for mental health conditions
Ram Popat, Julia Ive. Frontiers in Digital Health, 2023. Cites: paper

Device Agnostic Measurement of Blood Pressure From RPPG Signals
Praveen K. Parashiva, Rohit Damodaran, M.A. Kareem et al. European Signal Processing Conference (EUSIPCO), 2023. Cites: paper

Feature augmentation and semi-supervised conditional transfer learning for early detection of sepsis
Yutao Dou, Wei Li, Yucen Nan et al. Computers in Biology and Medicine, 2023. Cites: paper

Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports
Haitham Elmarakeby, Pavel Trukhanov, Vidal M. Arroyo et al. BMC Bioinformatics, 2023. Cites: paper

A nomogram to predict 28-day mortality in neonates with sepsis: a retrospective study based on the MIMIC-III database
Yongzhou Liang, Liqing Zhao, Jihong Huang et al. Translational Pediatrics, 2023. Cites: paper

A Prediction Model for In-Hospital Mortality of Acute Exacerbations of Chronic Obstructive Pulmonary Disease Patients Based on Red Cell Distribution Width-to-Platelet Ratio
Shi Chen, Yi Shi, Bingzhu Hu et al. International Journal of COPD, 2023. Cites: paper

A Retrospective Cohort Study: Predicting 90-Day Mortality for ICU Trauma Patients with a Machine Learning Algorithm Using XGBoost Using MIMIC-III Database
Shan Yang, Lirui Cao, Yongfang Zhou et al. Journal of Multidisciplinary Healthcare, 2023. Cites: paper

A survey on semantic processing techniques
Rui Mao, Kai He, Xulang Zhang et al. Information Fusion, 2023. Cites: paper

Deterministic Recursion to Target Class Classification
Levon H. Aslanyan, Karen Gishyan, Hasmik Sahakyan. Pattern Recognition and Image Analysis, 2023. Cites: paper

Development of machine learning models for predicting acute respiratory distress syndrome：evidence from the MIMIC-III and MIMIC-IV
Mingkun Yang, Weihang Hu, Jing Yan. Research Square, 2023. Cites: paper

Dynamic prediction of residual life with longitudinal covariates using long short-term memory networks
Grace E. Rhodes, Marie Davidian, Wenbin Lu. The Annals of Applied Statistics, 2023. Cites: paper

How to organise a datathon for bridging between data science and healthcare? Insights from the Technion-Rambam machine learning in healthcare datathon event
Jonathan Sobel, Ronit Almog, Leo Anthony Celi et al. BMJ Health & Care Informatics, 2023. Cites: paper

TGRA-P: Task-driven model predicts 90-day mortality from ICU clinical notes on mechanical ventilation
Beiji Zou, Yuting Ding, Jinxiu Li et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy
Daonan Chen, Rui Wang, Yihan Jiang et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Association between the triglyceride glucose (TyG) index and the risk of acute kidney injury in critically ill patients with heart failure: analysis of the MIMIC-IV database
Zewen Yang, Hongxia Gong, Fuqiang Kan et al. Cardiovascular Diabetology, 2023. Cites: paper

Healthcare: A Growing Role for Large Language Models and Generative AI
Saurabh A. Pahune, Noopur Rewatkar. International Journal for Research in Applied Science and Engineering Technology, 2023. Cites: paper

Multi-Label Clinical Time-Series Generation via Conditional GAN
Chang Hua Lu, Chandan K. A. Reddy, Ping Wang et al. IEEE Transactions on Knowledge and Data Engineering, 2023. Cites: paper

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction
Liping Wang, Qiang Liu, Mengqi Zhang et al. IEEE Transactions on Knowledge and Data Engineering, 2023. Cites: paper

Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model
Brandon Theodorou, Cao Xiao, Jimeng Sun. Nature Communications, 2023. Cites: paper

Temporal complexity in photoplethysmography and its influence on blood pressure
Xiaoman Xing, Rui Huang, Liling Hao et al. Frontiers in Physiology, 2023. Cites: paper

Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network
Jahan C. Penny‐Dimri, Christoph Bergmeir, Christopher Michael Reid et al. PLoS ONE, 2023. Cites: paper

Transportability of bacterial infection prediction models for critically ill patients
Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne Sarah Kline et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

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