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

Association between neutrophil-to-albumin ratio and mortality in patients with cardiogenic shock: a retrospective cohort study
Yangpei Peng, Yangjing Xue, Jinsheng Wang et al. BMJ Open, 2020. Cites: paper

Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning
Vasiliki Danilatou, Despoina Antonakaki, Christos Tzagkarakis et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2020. Cites: paper

Capsule Neural Networks for structural damage localization and quantification using transmissibility data
Joaquin Eduardo Figueroa Barraza, Enrique López Droguett, Viviana Meruane et al. Applied Soft Computing, 2020. Cites: paper

Discovering Similarity Across Heterogeneous Features
Vandana Pursnani Janeja, Josephine Namayanja, Yelena Yesha et al. International Journal of Data Warehousing and Mining, 2020. Cites: paper

Fluctuations of driving pressure during mechanical ventilation indicates elevated central venous pressure and poor outcomes
Jiayu Mao, Dongkai Li, Xin Ding et al. Pulmonary Circulation, 2020. Cites: paper

Impacts of Comorbid Chronic Obstructive Pulmonary Disease and Congestive Heart Failure on Prognosis of Critically Ill Patients
Ying Dai, Shaoyun Qin, Huaqin Pan et al. International Journal of COPD, 2020. Cites: paper

Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts
Steven Jiang, Weiyi Wu, Naofumi Tomita et al. Journal of Biomedical Informatics, 2020. Cites: paper

The Association of Red Blood Cell Distribution Width to Platelet Count Ratio and 28-Day Mortality of Patients with Sepsis: A Retrospective Cohort Study
Shanhui Ge, Shan Lin, Lishan Zhang et al. Therapeutics and Clinical Risk Management, 2020. Cites: paper

The Role of Context in the Prediction of Acute Hypotension in Critical Care
Niranjani Prasad, Konstantina Palla. 2020. Cites: paper

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity
Sander J. J. Leemans, Kanika Goel, Sebastiaan J. van Zelst. International Conference on Process Mining (ICPM), 2020. Cites: paper

Effect of Diabetes and Admission Blood Glucose Levels on Short-term Outcomes in Patients with Critical illnesses: A Real-world Study Based on Propensity Score Analyses
Shan Lin, Shanhui Ge, Wanmei He et al. Research Square, 2020. Cites: paper

Machine Learning for Sensor Data Processing in Biomedical Applications
Mani Rezaeirad. UPCommons institutional repository (Universitat Politècnica de Catalunya), 2020. Cites: paper

The method of automatic assignment ICD codes based on semantic information
Marcin Romaldowski. Computer Science and Mathematical Modelling, 2020. Cites: paper

Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment
Raja, Sharan, Rudraksh Tuwani. arXiv (Cornell University), 2020. Cites: paper

A Generalized Signal Quality Estimation Method for IoT Sensors
Arlene John, Barry Cardiff, Deepu John. IEEE International Symposium on Circuits and Systems proceedings, 2020. Cites: paper

A Resource-Optimized Patient-Specific Nonlinear-SVM Hypertension Detection Algorithm for Minimally-Invasive High Blood Pressure Control
Fatemeh Eshaghi, Esmaeil Najafi Aghdam, Hossein Kassiri. IEEE International Symposium on Circuits and Systems proceedings, 2020. Cites: paper

Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application
Matt Baucum, Anahita Khojandi, Rama Krishnan Vasudevan. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples
Jaehoon Koo, Diego Klabjan, Jean Utke. arXiv (Cornell University), 2020. Cites: paper

Multi-Label Classification of ICD Coding Using Deep Learning
Chung-Chian Hsu, Pei‐Chi Chang, Arthur Chang. International Symposium on Community-centric Systems (CcS), 2020. Cites: paper

A deep learning solution to recommend laboratory reduction strategies in ICU
Lishan Yu, LINDA C. LI, Elmer Victor Bernstam et al. International Journal of Medical Informatics, 2020. Cites: paper

A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction
Zhiyong Hu, Dongping Du. PLoS ONE, 2020. Cites: paper

Collaborative Cloud Computing Framework for Health Data with Open Source Technologies
Fatemeh Rouzbeh, Ananth Grama, Paul Griffin et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2020. Cites: paper

De-identifying free text of Japanese electronic health records
Kohei Kajiyama, Hiromasa Horiguchi, Takashi Okumura et al. Journal of Biomedical Semantics, 2020. Cites: paper

Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs
Chih-Hao Fang, Vikram Ravindra, Akhter, Salma et al. arXiv (Cornell University), 2020. Cites: paper

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model
Yuan Wang, Yake Wei, Hao Yang et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks
Jose Fernando Rodrigues Junior, Marco Antonio Gutierrez, Gabriel Spadon et al. Information Sciences, 2020. Cites: paper

Prediction of Hospital Re-admission Using Firefly Based Multi-layer Perceptron
Bhanu Prakash Battula, Balaganesh Duraisamy. Ingénierie des systèmes d information, 2020. Cites: paper

Towards accurate estimation of cuffless and continuous blood pressure using multi-order derivative and multivariate photoplethysmogram features
Wan-Hua Lin, Fei Chen, Yanjuan Geng et al. Biomedical Signal Processing and Control, 2020. Cites: paper

Combining Reinforcement Learning with Supervised Learning for Sepsis Treatment
Thanh Cong, Hyung-Jeong Yang, Seok Bong Yoo et al. International Conference on Smart Media and Applications (SMA), 2020. Cites: paper

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction
Rose Sisk, Lijing Lin A, Matthew Sperrin et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients
Wenping Guo, Zhuoming Xu, Xijian Ye et al. Scientific Programming, 2020. Cites: paper

Predição de sepse em unidade de terapia intensiva: uma abordagem de aprendizado de máquina
Diogo H. Shiraishi, Ernesto Marujo. 2020. Cites: paper

Spectral clustering of risk score trajectories stratifies sepsis patients by clinical outcome and interventions received
Ran Liu, Joseph L. Greenstein, James C. Fackler et al. eLife, 2020. Cites: paper

Um Modelo para Predição Individualizada da Deterioração da Saúde de Pacientes no âmbito da Internet das Coisas
Naira Kaieski, Diogo Schmidt, Carolina Kelsch et al. 2020. Cites: paper

Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology
Nazmus Sakib, Sheikh Iqbal Ahamed, Rumi Ahmed Khan et al. JMIR Medical Informatics, 2020. Cites: paper

Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers
Ankita Bhat, Daria Anna Podstawczyk, Brandon K. Walther et al. Journal of Translational Medicine, 2020. Cites: paper

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission
Guodong Du, Jia Zhang, Shaozi Li et al. Neurocomputing, 2020. Cites: paper

RadLex Normalization in Radiology Reports
Surabhi Datta, Jordan Godfrey-Stovall, Kirk E Roberts. PubMed Central, 2020. Cites: paper

Real-time sepsis severity prediction on knowledge graph deep learning networks for the intensive care unit
Qing Li, Lili Li, Jiang Zhong et al. Journal of Visual Communication and Image Representation, 2020. Cites: paper

Survey on RNN and CRF models for de-identification of medical free text
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Flavio Villanustre. Journal Of Big Data, 2020. Cites: paper

All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III)
Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan G. N. Seltzer et al. arXiv (Cornell University), 2020. Cites: paper

An Improved Mask Approach Based on Pointer Network for Domain Adaptation of BERT
Pengkai Lu, Dawei Jiang, Ying Li. Journal of Physics Conference Series, 2020. Cites: paper

Reinforcement learning for intelligent healthcare applications: A survey
Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro et al. Artificial Intelligence in Medicine, 2020. Cites: paper

PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
Suman Bhoi, Mong Li Lee, Wynne Hsu. arXiv (Cornell University), 2020. Cites: paper

DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration
Denise Bandeira da Silva, Diogo Schmidt, Cristiano André da Costa et al. Expert Systems with Applications, 2020. Cites: paper

PoRB-Nets: Poisson Process Radial Basis Function Networks
Beau Coker, Melanie F. Pradier, Finale Doshi‐Velez. Uncertainty in Artificial Intelligence, 2020. Cites: paper

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence.
H. S. Jennath, V. S. Anoop, S. Asharaf. International Journal of Interactive Multimedia and Artificial Intelligence, 2020. Cites: paper

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.
Vadim Korolev, Artem A. Mitrofanov, Kirill Karpov et al. ChemRxiv, 2020. Cites: paper

HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven, Muhammad Hafeez Chaudhary, Jeroen Berrevoets et al. arXiv (Cornell University), 2020. Cites: paper

Development and Validation of a Nomogram to Predict the Mortality Risk in Elderly Patients With ARF：A Retrospective Study in the Mimic-III Database
Qin Chen, Jie Weng, Hou Ruonan et al. Research Square, 2020. Cites: paper

Cited by