Publications citing MIMIC-III Waveform Database v1.0

A scoping review of publicly available language tasks in clinical natural language processing
Yanjun Gao, Dmitriy Dligach, Leslie Christensen et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Evaluating Prognostic Bias of Critical Illness Severity Scores Based on Age, Gender, and Primary Language in the USA: A Retrospective Multicenter Study
Xiaoli Liu, Max Shen, Margaret Lie et al. medRxiv, 2022. Cites: paper

In with the old, in with the new: machine learning for time to event biomedical research
Ioana Danciu, Greeshma A. Agasthya, Janet P. Tate et al. Journal of the American Medical Informatics Association, 2022. Cites: paper

Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Iacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold et al. Clinical Kidney Journal, 2022. Cites: paper

Blood Pressure Estimation based on Electrocardiograms
Carolin Wuerich, Felix Wichum, Omar El-Kadri et al. Current Directions in Biomedical Engineering, 2022. Cites: dataset

Fine-Grained ICD Code Assignment Using Ontology-Based Classification
Joshua Carberry, Haiping Xu. IEEE International Conference on Information Reuse and Integration (IRI), 2022. Cites: paper

GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label
Lin Yao, Yu Zhang, Zhaolong Zheng et al. International Conference on Big Data Computing and Communications (BigCom), 2022. Cites: paper

MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Qingjian Ni, Xuehan Cao. Engineering Applications of Artificial Intelligence, 2022. Cites: paper

Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network
Yang An, Yufeng Sun, Bo Jin et al. International Conference on Big Data Computing and Communications (BigCom), 2022. Cites: paper

Non-linear relationship between baseline mean arterial pressure and 30-day mortality in patients with sepsis: a retrospective cohort study based on the MIMIC-III database
Bingbing Cao, Qian Chen, Tiantian Tang et al. Annals of Translational Medicine, 2022. Cites: paper

Retraining a BERT Model for Transfer Learning in Requirements Engineering: A Preliminary Study
Muideen A. Ajagbe, Liping Zhao. IEEE International Requirements Engineering Conference (RE), 2022. Cites: paper

Toward interpretable and actionable data analysis with explanations and causality
Sudeepa Roy. Proceedings of the VLDB Endowment, 2022. Cites: paper

Time‐dependent prediction of mortality and cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation using machine learning
Lisa Eisenberg, Christian Brossette, Jochen Rauch et al. American Journal of Hematology, 2022. Cites: paper

Avaliando Métodos de Aprendizado de Máquina na Concepção de uma Abordagem para Predição Antecipada do Risco de Mortalidade em UTIs
Alexandre Renato Rodrigues de Souza, Fabrício Neitzke Ferreira, Rodrigo Blanke Lambrecht et al. Anais do Seminário Integrado de Software e Hardware (SEMISH), 2022. Cites: paper

IoT Diálise Peritoneal: Uma Abordagem Explorando o Monitoramento Remoto de Pacientes
Rogério da Costa Albandes, Alexandre Lima de Souza, Rodrigo Blanke Lambrecht et al. Anais do Seminário Integrado de Software e Hardware (SEMISH), 2022. Cites: paper

Artificial Intelligence in Healthcare Competition (TEKNOFEST-2021): Stroke Data Set
Emrah Karakaş, Şuayıp Birinci, Mustafa Mahir Ülgü et al. Eurasian Journal of Medicine, 2022. Cites: paper

Effect of transthoracic echocardiography on short-term outcomes in patients with acute kidney injury in the intensive care unit: a retrospective cohort study based on the MIMIC-III database
Caijie Liu, Shuying Wang, Xiuzhen Wang. Annals of Translational Medicine, 2022. Cites: paper

Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals
Aditi Pawde, Sushodhan Vaishampayan, Akshada Shinde et al. SN Computer Science, 2022. Cites: paper

IoT EWS: Uma Abordagem Explorando Monitoramento Remoto de Pacientes na Internet das Coisas
Rogério da Costa Albandes, Alexandre Lima de Souza, Rodrigo Blanke Lambrecht et al. 2022. Cites: paper

Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction
Yuxi Liu, Zhenhao Zhang, Antonio Jimeno Yepes et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2022. Cites: paper

Predicting the need for blood transfusion in intensive care units with reinforcement learning
Yuqing Wang, Yun Zhao, Linda Ruth Petzold. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2022. Cites: paper

A prediction and interpretation machine learning framework of mortality risk among severe infection patients with pseudomonas aeruginosa
Chen Cui, Fei Mu, Meng Tang et al. Frontiers in Medicine, 2022. Cites: paper

Body surface area as a prognostic predictor in patients with sepsis
Haihua Chang, Lin Liao, Wei Wang et al. Research Square, 2022. Cites: paper

A CNN Approach To Predicting Non-Invasive Blood Pressure of Surgical Patients
Pin-You Ko, Lien‐Fu Lai, Tien-Hsiung Ku et al. IEEE International Conference on Knowledge Innovation and Invention (ICKII), 2022. Cites: paper

A predictive model for thirty-day mortality of fungemia in ICUs
peng xie, wenqiang wang, Maolong Dong. Research Square, 2022. Cites: paper

A Pseudo Label-Wise Attention Network for Automatic ICD Coding
Yifan Wu, Min Zeng, Ying Yu et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

Evaluation of the neonatal sequential organ failure assessment and mortality risk in neonates with respiratory distress syndrome: A retrospective cohort study
Shanshan Shi, Jie Guo, Lihua Liao et al. Frontiers in Pediatrics, 2022. Cites: paper

Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu. Journal of the American Statistical Association, 2022. Cites: paper

“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks
Jinghui Liu, Daniel Capurro N, Anthony N Nguyen et al. Journal of Biomedical Informatics, 2022. Cites: paper

Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model
Erik Rosenstrom, Sareh Meshkinfam, Julie Simmons Ivy et al. Decision Analysis, 2022. Cites: paper

Titration of Ventilator Settings to Target Driving Pressure and Mechanical Power
Elias Baedorf Kassis, Stephanie M. Hu, Mingyu Lu et al. Respiratory Care, 2022. Cites: paper

Accelerating Vertical Federated Learning
Dongqi Cai, Tao T. Fan, Yan Kang et al. IEEE Transactions on Big Data, 2022. Cites: paper

Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models
Ying-Chi Lin, Phillip Hoffmann, Erhard Rahm. SN Computer Science, 2022. Cites: paper

KTI-RNN: Recognition of Heart Failure from Clinical Notes
Dengao Li, Huiting Ma, Wenjing Li et al. Tsinghua Science & Technology, 2022. Cites: paper

Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records
Aiai Yu, Yujie Zhong, Xingdong Feng et al. Biometrics, 2022. Cites: paper

Deep Dynamic Patient Similarity Analysis: Model Development and Validation in ICU
Zhaohong Sun, Xudong Lü, Huilong Duan et al. Computer Methods and Programs in Biomedicine, 2022. Cites: paper

Knowledge Guided Multi-filter Residual Convolutional Neural Network for ICD Coding from Clinical Text
Zeyd Boukhers, Prantik Goswami, Jan Jürjens. Research Square, 2022. Cites: paper

Accurate Clinical and Biomedical Named Entity Recognition at Scale
Veysel Kocaman, David Talby. Software Impacts, 2022. Cites: paper

Conditional generation of medical time series for extrapolation to underrepresented populations
Simon Bing, Andrea Dittadi, Stefan Bauer et al. PLOS Digital Health, 2022. Cites: paper

Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
Peter H Charlton, Kevin Kotzen, Elisa Mejía‐Mejía et al. Physiological Measurement, 2022. Cites: paper

Integrating structured and unstructured data for timely prediction of bloodstream infection among children
Azade Tabaie, Evan William Orenstein, Swaminathan Kandaswamy et al. Pediatric Research, 2022. Cites: paper

Platelet transfusion and mortality in patients with sepsis‐induced thrombocytopenia: A propensity score matching analysis
Shanshan Wu, Qin Chen, Jingye Pan et al. Vox Sanguinis, 2022. Cites: paper

AttentionHCare: Advances on computer-aided medical prognosis using attention-based neural networks
Pedro H. F. De Barros, Jose Fernando Rodrigues Junior. International Joint Conference on Neural Networks (IJCNN), 2022. Cites: paper

INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale.
Rowena Griffiths, Laura Herbert, Ashley Akbari et al. International Journal for Population Data Science, 2022. Cites: paper

Joint Modeling of Document and Label with Clause Interaction Hypergraph for ICD Medical Code Assignment
Haoran Wu, Linghui Meng, Shuang Xu et al. International Joint Conference on Neural Networks (IJCNN), 2022. Cites: paper

Learning Point Processes using Recurrent Graph Network
Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay. International Joint Conference on Neural Networks (IJCNN), 2022. Cites: paper

The association between blood albumin level and cardiovascular complications and mortality risk in ICU patients with CKD
Fengming Huang, Jinmao Fan, Xin Hua Wan et al. BMC Cardiovascular Disorders, 2022. Cites: paper

The relationship between hematocrit and serum albumin levels difference and mortality in elderly sepsis patients in intensive care units—a retrospective study based on two large database
Zichen Wang, Luming Zhang, Shaojin Li et al. BMC Infectious Diseases, 2022. Cites: paper

Towards An Integrated Framework for Neural Temporal Point Process
Qifu Hu, Zhoutian Feng, Daiyue Xue et al. International Joint Conference on Neural Networks (IJCNN), 2022. Cites: paper

Towards interpretable machine learning for clinical decision support
Bradley Walters, Sandra Ortega‐Martorell, Iván Olier et al. International Joint Conference on Neural Networks (IJCNN), 2022. Cites: paper

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