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

The magnitude, but not the duration of elevated central venous pressure is associated with mortality in sepsis patients: An analysis of the MIMIC-IV database
Han Chen, Shurong Gong, Xiuling Shang et al. PLoS ONE, 2023. Cites: paper

Clinical-GAN: Trajectory Forecasting of Clinical Events using Transformer and Generative Adversarial Networks
Vignesh Shankar, Elnaz Yousefi, Alireza Manashty et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Deep learning approach to detection of colonoscopic information from unstructured reports
Donghyeong Seong, Yoon Ho Choi, Soo-Yong Shin et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
Thomas P. A. Debray, Professor Gary S. Collins, Richard D Riley et al. BMJ, 2023. Cites: paper

Prognostic value of inflammation biomarkers for 30-day mortality in critically ill patients with stroke
Jun Zhao, Jinli Feng, Qian Ma et al. Frontiers in Neurology, 2023. Cites: paper

Variational Temporal Deconfounder for Individualized Treatment Effect Estimation with Longitudinal Observational Data
Zheng Feng, Mattia Prosperi, Yi Maggie Guo et al. Research Square, 2023. Cites: paper

DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation
Xingwang Li, Yijia Zhang, Xiaobo Li et al. Journal of Biomedical Informatics, 2023. Cites: paper

A new criteria for acute on preexisting kidney dysfunction in critically ill patients
Dejiang Hong, Qinghuan Ren, Jie Zhang et al. Renal Failure, 2023. Cites: paper

A value-based deep reinforcement learning model with human expertise in optimal treatment of sepsis
Xiaodan Wu, Ruichang Li, Zhen He et al. npj Digital Medicine, 2023. Cites: paper

Building a knowledge graph to enable precision medicine
Payal Chandak, Kexin Huang, Marinka Žitnik. Scientific Data, 2023. Cites: paper

Actionable Suggestions in Support of Rehospitalization Risk Predicted by Artificial Intelligence
Giada Confortola, Mika Takata, Naoaki Yokoi et al. IEEE International Conference on Big Data and Smart Computing (BigComp), 2023. Cites: paper

A Systematic Review of Application Progress on Machine Learning-Based Natural Language Processing in Breast Cancer over the Past 5 Years
Chengtai Li, Ying Weng, Yiming Zhang et al. Diagnostics, 2023. Cites: paper

Avanço recente no aprendizado semi-supervisionado para reconhecimento de entidades nomeadas e aplicações clínicas potenciais
Heungmin Lee. 2023. Cites: paper

Continuous diagnosis and prognosis by controlling the update process of deep neural networks
Chenxi Sun, Hongyan Li, Moxian Song et al. Patterns, 2023. Cites: paper

Feature Selection using Generalized Linear Model for Machine Learning-based Sepsis Prediction
Mahbubur Rahman, Adamu Abubakar Ibrahim, Afidalina Tumian. International Conference on Advances in Intelligent Computing and Applications (AICAPS), 2023. Cites: paper

Predicting length of stay ranges by using novel deep neural networks
Hong Zou, Wei Yang, Meng Wang et al. Heliyon, 2023. Cites: paper

Unstructured Data Are Superior to Structured Data for Eliciting Quantitative Smoking History From the Electronic Health Record
John C. Ruckdeschel, Mark Riley, Sriram Parsatharathy et al. JCO Clinical Cancer Informatics, 2023. Cites: paper

固有表現認識のための半教師あり学習の最近の進歩と潜在的な臨床応用
Heungmin Lee. 2023. Cites: paper

Clinical Natural Language Processing for Japanese: Challenges and Opportunities
Judai Yuki. 2023. Cites: paper

Evaluating the Impact of Health Care Data Completeness for Deep Generative Models
Benjamin Smith, Senne Van Steelandt, Anahita Khojandi. Methods of Information in Medicine, 2023. Cites: paper

Permutation Entropy Analysis to Intracranial Hypertension from a Porcine Model
Fernando Pose, Nicolás Marcelo Ciarrocchi, Carlos Videla et al. Entropy, 2023. Cites: paper

β-Blockers could improve the 28-day and 3-year survival of patients with end-stage renal disease: a retrospective cohort study
Hui Dong, Lang Zhou, Luyu Yang et al. International Urology and Nephrology, 2023. Cites: paper

日本語の臨床自然言語処理：課題と機会
Judai Yuki. 2023. Cites: paper

Admission Heart Rate and Mortality in Critically Ill Patients with Acute Aortic Dissection
Zeliang Chen, Wei Pan, Jing Cao et al. International Heart Journal, 2023. Cites: paper

A Framework for Automatic Clustering of EHR Messages Using a Spatial Clustering Approach
Muhammad Ayaz, Muhammad Fermi Pasha, Tham Yu Le et al. Healthcare, 2023. Cites: paper

A prediction model for in-hospital mortality in intensive care unit patients with metastatic cancer
Mei‐Zhen Wu, Haijin Gao. Frontiers in Surgery, 2023. Cites: paper

Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU
Md Osman Gani, Shravan Kethireddy, Riddhiman Adib et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Visual Analytics for Explainable and Trustworthy Machine Learning
Angelos Chatzimparmpas. 2023. Cites: paper

Smart Work Injury Management (SWIM) System: A Machine Learning Approach for the Prediction of Sick Leave and Rehabilitation Plan
Peter H. F. Ng, Peter Qi Chen, Zackary P. T. Sin et al. Bioengineering, 2023. Cites: paper

TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization
Anand Jayarajan, Wei Zhao, Yudi Sun et al. International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023. Cites: paper

Age-adjusted Charlson Comorbidity Index as effective predictor for in-hospital mortality of patients with cardiac arrest: a retrospective study
Nan Zhang, Qingting Lin, Hui Jiang et al. BMC Emergency Medicine, 2023. Cites: paper

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller et al. Journal of Biomedical Informatics, 2023. Cites: paper

Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs
Danne C. Elbers, Jennifer La, Joshua R. Minot et al. PLoS ONE, 2023. Cites: paper

The 2022 n2c2/UW shared task on extracting social determinants of health
Kevin Lybarger, Meliha Yetişgen, Özlem Uzuner. Journal of the American Medical Informatics Association, 2023. Cites: paper

Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
Shuhe Li, Ruoxu Dou, Xiaodong Song et al. Journal of Clinical Medicine, 2023. Cites: paper

Mortality prediction among ICU inpatients based on MIMIC-III database results from the conditional medical generative adversarial network
Wei Yang, Hong Zou, Meng Wang et al. Heliyon, 2023. Cites: paper

The data driven intensive care unit
Lucas M. Fleuren. 2023. Cites: paper

Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center
Senjun Jin, Lin Chen, Kun Chen et al. Scientific Data, 2023. Cites: paper

Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing
Helena Ariño, Soo Kyung Bae, Jaya Chaturvedi et al. Frontiers in Digital Health, 2023. Cites: paper

Wavelet based ensemble models for early mortality prediction using imbalance ICU big data
Babita Majhi, Aarti Kashyap. Smart Health, 2023. Cites: paper

Development and validation of a prognostic nomogram model for ICU patients with alcohol-associated cirrhosis
Luyan Zheng, Yining Lu, Jie Wu et al. Digestive and Liver Disease, 2023. Cites: paper

Hybrid CNN-SVR Blood Pressure Estimation Model Using ECG and PPG Signals
Solmaz Rastegar, Hamid Gholam Hosseini, Andrew Lowe. Sensors, 2023. Cites: paper

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks
Benjamin Shickel, Tyler John Loftus, Matthew M. Ruppert et al. Scientific Reports, 2023. Cites: paper

Machine Learning for Decision Support in the ICU
Yu-Wei Lin, Hsin‐Lu Chang, Prasanna P. Karhade et al. IGI Global eBooks, 2023. Cites: paper

Building an automated, machine learning-enabled platform for predicting post-operative complications
Jeremy A. Balch, Matthew M. Ruppert, Benjamin Shickel et al. Physiological Measurement, 2023. Cites: paper

Knowledge Graph Embeddings for ICU readmission prediction
Ricardo Miguel Serafim Carvalho, Daniela Oliveira, Cátia Pesquita. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention Based Transformers and Association Mining: Covid-19 as Phenotype
Fakhare Alam, Obieda Ananbeh, Khalid Mahmood Malik et al. Preprints.org, 2023. Cites: paper

Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques
José A. González‐Nóvoa, Laura Busto, Silvia Campanioni et al. Sensors, 2023. Cites: paper

Association between central venous pressure measurement and outcomes in critically ill patients with severe coma
Xin Tong, Xin Feng, Chuanzhi Duan et al. European journal of medical research, 2023. Cites: paper

Development and validation of a survival prediction model in elder patients with community-acquired pneumonia: a MIMIC-population-based study
Na Li, Wenli Chu. BMC Pulmonary Medicine, 2023. Cites: paper

Cited by