Publications citing MIMIC-III Clinical Database Demo v1.4

PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis
Ying An, Guanglei Cai, Xianlai Chen et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

A Novel Nomogram based on Hemodynamic Monitoring for Predicting Survival of Patients with Acute Myocardial Infarction: An Analysis Based on the MIMIC-III Database.
Shuwan Xu, Junping Li, Jiyi Yao et al. Research Square, 2023. Cites: paper

Schrödinger spectrum based continuous cuff-less blood pressure estimation using clinically relevant features from PPG signal and its second derivative
Sayan Sarkar, Aayushman Ghosh, Jayant Kalra. Computers in Biology and Medicine, 2023. Cites: paper

Integrating Medication Recommendation and Lab Test Response Prediction for Enhanced Clinical Decision Support
Suman Bhoi, Mong Li Lee, Wynne Hsu et al. Proceedings of the AAAI Symposium Series, 2023. Cites: paper

Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome
Shuxing Wei, Yongsheng Zhang, Hongmeng Dong et al. BMC Pulmonary Medicine, 2023. Cites: paper

Medical Profile Model: Scientific and Practical Applications in Healthcare
Pavel Dmitrievich Blinov, Vladimir Kokh. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

SGIR: Star Graph-Based Interaction for Efficient and Robust Multimodal Representation
Zhiwei Ding, Guilin Lan, Yanzhi Song et al. IEEE Transactions on Multimedia, 2023. Cites: paper

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Yuanhong Chen, Fengbei Liu, Hu Wang et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

Early transthoracic echocardiography and long-term mortality in moderate- to-severe acute respiratory distress syndrome: An analysis of the Medical Information Mart for Intensive Care database
Qiuyu Liu, Yingkui Tang, Tao Wu et al. Science Progress, 2023. Cites: paper

FGRL-Net: Fine-Grained Personalized Patient Representation Learning for Clinical Risk Prediction Based on EHRs
Kakit Chio, Wenhao Zhu, Lihua He et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2023. Cites: paper

Hypoxemia Trajectory of Non-COVID-19 Acute Respiratory Distress Syndrome Patients. An Observational Study Focusing on Hypoxemia Resolver Status
Connor M. Toal, Alexander James Fowler, Brijesh V. Patel et al. Critical Care Explorations, 2023. Cites: paper

LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. Cites: paper

CHARACTERIZATION OF MORTALITY PREDICTION: AN ENSEMBLE LEARNING ANALYSIS USING THE MIMIC-III DATASET
Anıl Burcu Özyurt Serim. Journal of Scientific Reports-A, 2023. Cites: dataset

Association of lactate/albumin ratio with in-hospital mortality in ICU patients with acute respiratory failure: A retrospective analysis based on MIMIC-IV database
Jing Ren, Quou Kang, Fangfang Wang et al. Medicine, 2023. Cites: paper

Establishment and validation of a prognosis nomogram for MIMIC-III patients with liver cirrhosis complicated with hepatic encephalopathy
Wansheng Yan, Zhihui Yao, Qiutong Ou et al. BMC Gastroenterology, 2023. Cites: paper

FoGGAN: Generating Realistic Parkinson’s Disease Freezing of Gait Data Using GANs
Νικόλαος Πεππές, Panagiοtis Tsakanikas, Emmanouil Daskalakis et al. Sensors, 2023. Cites: paper

SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation
Sicen Liu, Xiaolong Wang, Jingcheng Du et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Using Monte Carlo simulated PPGs signals to train a deep learning model to predict hemoglobin levels
Michael A. Alvarez, Emmanuel Arzuaga, Heidy Sierra. Emerging Topics in Artificial Intelligence (ETAI), 2023. Cites: paper

Anticholinergic Burden and Xerostomia in Critical Care Settings
Joohyun Chung, Jennifer Tjia, Ning Zhang et al. Dimensions of Critical Care Nursing, 2023. Cites: paper

Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms
Alireza Zamanian, Narges Ahmidi, Mathias Drton. Statistics in Medicine, 2023. Cites: paper

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li et al. Information Fusion, 2023. Cites: paper

Domain-adapted Large Language Models for Classifying Nuclear Medicine Reports
Zachary Huemann, Changhee Lee, Junjie Hu et al. Radiology Artificial Intelligence, 2023. Cites: paper

TraumaICD Bidirectional Encoder Representation From Transformers
Jeff Choi, Yifu Chen, Alexander Sivura et al. Annals of Surgery, 2023. Cites: paper

Uncovering Bias in Personal Informatics
Sofia Yfantidou, Pavlos Sermpezis, Athena I. Vakali et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2023. Cites: paper

Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding
Chin Wang Cheong, Kejing Yin, William K. Cheung et al. ACM Transactions on Intelligent Systems and Technology, 2023. Cites: paper

Deciphering Clinical Narratives - Augmented Intelligence for Decision Making in Healthcare Sector
Lipika Dey, Sudeshna Jana, Tirthankar Dasgupta et al. Annals of Computer Science and Information Systems, 2023. Cites: paper

Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework
Pankaj, Ashish Kumar, Rama Komaragiri et al. Physical and Engineering Sciences in Medicine, 2023. Cites: paper

Early Prediction of Sepsis Using Time Series Forecasting
Jinghua Xu, Natalia Minakova, Pablo Ortega Sanchez et al. IEEE International Conference on eScience, 2023. Cites: paper

Early warning system enables accurate mortality risk prediction for acute gastrointestinal bleeding admitted to intensive care unit
Meng Jiang, Chang-li Li, Xingchen Lin et al. Internal and Emergency Medicine, 2023. Cites: paper

Children are small adults (when properly normalized): Transferrable/generalizable sepsis prediction
Caitlin Marassi, Damien Socia, Dale Larie et al. Surgery Open Science, 2023. Cites: paper

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis
Teng-Yun Cheng, Sam Yu-Chieh Ho, Tsair‐Wei Chien et al. Medicine, 2023. Cites: paper

Improving Clinical Decision Making With a Two-Stage Recommender System
Shaina Raza, Chen Ding. IEEE Transactions on Computational Biology and Bioinformatics, 2023. Cites: paper

Negativity and Positivity in the ICU: Exploratory Development of Automated Sentiment Capture in the Electronic Health Record
Chris J. Kennedy, Catherine Chiu, Allyson C. Cook et al. Critical Care Explorations, 2023. Cites: paper

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal
Iacopo Vagliano, Noman Dormosh, Miguel Rios et al. Journal of Biomedical Informatics, 2023. Cites: paper

A Survey of PPG's Application in Authentication
Lin Li, Chao Chen, Lei Pan et al. Computers & Security, 2023. Cites: paper

Mortality prediction using medical time series on TBI patients
João Fonseca, Xiuyun Liu, Hélder P. Oliveira et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Association between lactate/albumin ratio and all-cause mortality in critical patients with acute myocardial infarction
Danni Wang, Chaodi Luo, Qian Li et al. Scientific Reports, 2023. Cites: paper

Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records
Nodira Nazyrova, Salma Chahed, Miriam Victoria Dwek et al. International Conference on Innovations in Intelligent Systems and Applications (INISTA), 2023. Cites: paper

Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G
Harsh Bhatt, Nilesh Kumar Jadav, Aparna Kumari et al. Concurrency and Computation Practice and Experience, 2023. Cites: paper

De-identification of Clinical Document Images using Deep Learning and Data-Driven Methods
Ravichandra Sri, Siva Sathya Sundaram, S. LourduMarie Sophie. Research Square, 2023. Cites: paper

Development and validation of the prediction model for mortality in patients with diabetic kidney disease in intensive care unit: a study based on medical information Mart for intensive care
Wei Jin, Haijiao Jin, Xinyu Su et al. Renal Failure, 2023. Cites: paper

Improving model transferability for clinical note section classification models using continued pretraining
Weipeng Zhou, Meliha Yetişgen, Majid Afshar et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Predicting unplanned readmissions in the intensive care unit: a multimodality evaluation
Eitam Sheetrit, Menachem Brief, Oren Elisha. Scientific Reports, 2023. Cites: paper

Bibliometric Analysis of ChatGPT's Applications in Medicine: A Comprehensive Assessment of its Impact and Potential
Mueen Ahmed KK, Chaman Sab M. International Journal of Medicine and Public Health, 2023. Cites: paper

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

Cited by