Publications citing MIMIC-III Clinical Database Demo v1.4

Aspirin Therapy and 28-Day Mortality in ICU Patients: A Retrospective Observational Study From Two Large Databases
Luhao Wang, Bin Li, Lingyun Zuo et al. Clinical Therapeutics, 2023. Cites: paper

Cuff-Less Blood Pressure Prediction Based on Photoplethysmography and Modified ResNet
Caijie Qin, Yong Li, Chibiao Liu et al. Bioengineering, 2023. Cites: paper

Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching
Jiayi Yuan, Tang, Ruixiang, Xiaoqian Jiang et al. PubMed Central, 2023. Cites: paper

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
Meikun Ma, Xiaoyan Hao, Jumin Zhao et al. Medical & Biological Engineering & Computing, 2023. Cites: paper

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding et al. PubMed Central, 2023. Cites: paper

CPAE: Contrastive predictive autoencoder for unsupervised pre-training in health status prediction
Shuying Zhu, Weizhong Zheng, Herbert Pang. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Data processing pipeline for cardiogenic shock prediction using machine learning
Nikola Jajcay, Branislav Bezák, Amitai Segev et al. Frontiers in Cardiovascular Medicine, 2023. Cites: paper

Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes
Siyi Gu, Eric Wonhee Lee, Wenhui Zhang et al. CIN Computers Informatics Nursing, 2023. Cites: paper

Anaemia in the first week may be associated with long-term mortality among critically ill patients: propensity score-based analyses
I-Hung Lin, Pei-Ya Liao, Li-Ting Wong et al. BMC Emergency Medicine, 2023. Cites: paper

El método del factor de Bayes en el análisis de la energía mecánica en pacientes con insuficiencia respiratoria grave por SARS-CoV-2
Alejandro González-Castro, Vicent Modesto i Alapont, Elena Cuenca Fito et al. Medicina Intensiva, 2023. Cites: paper

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation
Yushan Jiang, Wenchao Yu, Dongjin Song et al. Conference on Information Sciences and Systems, 2023. Cites: paper

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things
Ayoub Si-Ahmed, Mohammed Ali Al-Garadi, Narhimène Boustia. Applied Soft Computing, 2023. Cites: paper

Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
Richard Tarbell, Kim‐Kwang Raymond Choo, Glenn B. Dietrich et al. PubMed Central, 2023. Cites: paper

Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis
Ming-Yen Lin, Yuan‐Ming Chang, Chi-Chun Li et al. Healthcare, 2023. Cites: paper

A Machine Learning Approach to the Non-Invasive Estimation of Continuous Blood Pressure Using Photoplethysmography
Basheq Tarifi, Aaron Fainman, Adam Pantanowitz et al. Applied Sciences, 2023. Cites: paper

Applications of artificial intelligence in clinical management, research, and health administration: imaging perspectives with a focus on hemophilia
Andrea Schwarz Doria. Expert Review of Hematology, 2023. Cites: paper

Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery
Molly J. Douglas, Rachel A. Callcut, Leo Anthony Celi et al. Surgical Clinics of North America, 2023. Cites: paper

Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
Emran Al Bashabsheh, Ahmad Alaiad, Mahmoud Al‐Ayyoub et al. The Journal of Supercomputing, 2023. Cites: paper

Review of Natural Language Processing in Pharmacology
Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva et al. Pharmacological Reviews, 2023. Cites: paper

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders
Natalie K. Fitzpatrick, Richard Dobson, Angus Roberts et al. JMIR Medical Informatics, 2023. Cites: paper

Association between admission systemic immune-inflammation index and mortality in critically ill patients with sepsis: a retrospective cohort study based on MIMIC-IV database
Daishan Jiang, Tingting Bian, Yanbo Shen et al. Clinical and Experimental Medicine, 2023. Cites: paper

Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide
Xiang Yu, Rilige Wu, Yuwei Ji et al. Frontiers in Public Health, 2023. Cites: paper

A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning
Evans Kotei, Ramkumar Thirunavukarasu. Information, 2023. Cites: paper

Trends and opportunities in computable clinical phenotyping: A scoping review
Ting He, Anas Belouali, Jessica Patricoski et al. Journal of Biomedical Informatics, 2023. Cites: paper

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Nora Mahmoud El-Rashidy, Ahmed Sedik, Ali I. Siam et al. Neural Computing and Applications, 2023. Cites: paper

Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems
Markus Kreuzthaler, Mathias Brochhausen, Cilia E. Zayas et al. Frontiers in Medicine, 2023. Cites: paper

Targeted optimal treatment regime learning using summary statistics
J Chu, Wenbin Lu, Shu Yang. Biometrika, 2023. Cites: dataset, paper

Co-design of Human-centered, Explainable AI for Clinical Decision Support
Cecilia Panigutti, Andrea Beretta, Daniele Fadda et al. ACM Transactions on Interactive Intelligent Systems, 2023. Cites: paper

Extracting social determinants of health events with transformer-based multitask, multilabel named entity recognition
Russell Richie, Victor M Ruiz, Sifei Han et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Survey on Autonomous Medical Diagnosis Tools
R. Akiladevi, S Shrijeeth, Saathvik Krishnan et al. International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023. Cites: paper

A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge
Hyun Joo Kim, Hyoung Woo Chang, Hyoung Woo Chang et al. Biomimetics, 2023. Cites: paper

Machine-aided PPG Signal Quality Assessment (SQA) for Multi-mode Physiological Signal Monitoring
Win-Ken Beh, Yu-Chia Yang, Yi-Cheng Lo et al. ACM Transactions on Computing for Healthcare, 2023. Cites: paper

Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
Kilian Merkelbach, Steffen Schaper, Christian Diedrich et al. Scientific Reports, 2023. Cites: paper

Applications of Artificial Intelligence in Thrombocytopenia
Amgad Mohammed Elshoeibi, Khaled Ferih, Ahmed Adel Elsabagh et al. Diagnostics, 2023. Cites: paper

Clinical And Echocardiographic Predictors Of Recovery Of Moderate-To-Severe Sepsis-Associated Acute Kidney Injury In Critically Ill Patients
Osama Mukhtar, Amos Lal, Meir Tabi et al. Journal of Community Hospital Internal Medicine Perspectives, 2023. Cites: paper

Statin Use is Associated with Reduced Mortality in Mechanically Ventilated Patients: A Retrospective Propensity-Matched Analysis of MIMIC-III Database
Daonan Chen, Huifang Zhang, Liu Wang et al. Intensive Care Research, 2023. Cites: paper

Association and prediction of red blood cell distribution width to albumin ratio in all-cause mortality of acute kidney injury in critically ill patients
Chen Gao, Longkai Peng. Frontiers in Medicine, 2023. Cites: paper

Effects of propofol, benzodiazepines, and opioids on survival in cancer patients: a retrospective cohort study based on MIMIC-III
Jun‐Xiang Li, Hongguang Gao, Hangying Zhang et al. Biotechnology and Genetic Engineering Reviews, 2023. Cites: paper

A clinically applicable prediction model for the risk of in-hospital mortality in solid cancer patients admitted to intensive care units with sepsis
Chengyong Ma, GuoRui Sun, Xuewei Yang et al. Journal of Cancer Research and Clinical Oncology, 2023. Cites: paper

Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction
Ke Niu, Ke Zhang, Xueping Peng et al. Frontiers in Molecular Biosciences, 2023. Cites: paper

Enriching large language models with semantic lexicons and analogies
Georgios Zervakis. 2023. Cites: paper

Prediction of acute hypertensive episodes in critically ill patients
Nevo Itzhak, Itai M. Pessach, Robert Moskovitch. Artificial Intelligence in Medicine, 2023. Cites: paper

PubSub-ML: A Model Streaming Alternative to Federated Learning
Lovedeep Gondara, Ke Wang. Proceedings on Privacy Enhancing Technologies, 2023. Cites: paper

WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset
Daniel Miller, Gurpreet Singh Dhillon, Nicholas Bambos et al. Scientific Data, 2023. Cites: paper

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble
Ruiqing Ding, Yu Zhou, Xu Jie et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Unsupervised EHR ‐based phenotyping via matrix and tensor decompositions
Florian Becker, Age K. Smilde, Evrim Acar. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2023. Cites: paper

A Review of Deep Learning Methods for Automated Clinical Coding
Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli B. International Conference on Computer and Automation Engineering, 2023. Cites: paper

Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome
Robert Y. Lee, Erin K. Kross, Janaki Torrence et al. JAMA Network Open, 2023. Cites: paper

Impact of atrial fibrillation on the accuracy of oscillometric blood pressure monitoring in ICU patients from a large real-world database
Yuxi Li, Beining Wang, Fangfang Fan et al. Journal of Hypertension, 2023. Cites: paper

A hybrid deep learning approach for phenotype prediction from clinical notes
Sahar Khalafi, Nasser Ghadiri, Milad Moradi. Journal of Ambient Intelligence and Humanized Computing, 2023. Cites: paper

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