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

Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost
Nianzong Hou, Mingzhe Li, Lu He et al. Journal of Translational Medicine, 2020. Cites: paper

Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
Jiancheng Ye, Liang Yao, Jiahong Shen et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches
Benjamin Ming Kit Siu, Gloria Hyunjung Kwak, Lowell Ling et al. Scientific Reports, 2020. Cites: paper

Prediction of Hospital Readmission Combining Rule-based and Machine Learning Model
Kareen Teo, Khin Wee Lai, Ching Wai Yong et al. International Computer Symposium, 2020. Cites: paper

Word embeddings for biomedical natural language processing: A survey
Billy Chiu, Simon Baker. Language and Linguistics Compass, 2020. Cites: paper

An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring
Peter H Charlton, Timothy Bonnici, Lionel Tarassenko et al. Biomedical Signal Processing and Control, 2020. Cites: paper

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin M. Marlin. arXiv (Cornell University), 2020. Cites: paper

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.
Satya Narayan Shukla, Benjamin M. Marlin. arXiv (Cornell University), 2020. Cites: paper

Big Data und künstliche Intelligenz in der Medizin
Pejman Farhadi Ghalati, Konstantin Sharafutdinov, Jayesh Sudhir Bhat et al. Springer eBooks, 2020. Cites: paper

Clinician involvement in research on machine learning–based predictive clinical decision support for the hospital setting: A scoping review
Jessica Schwartz, Amanda J Moy, Sarah Collins Rossetti et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau, Elisa Cirillo. Research Square, 2020. Cites: paper

The New Technologies in the Pandemic Era
Erick Giovani Sperandio Nascimento, Adhvan Novais Furtado, Roberto José da Silva Badaró et al. Journal of Bioengineering, Technologies and Health, 2020. Cites: paper

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh, Tingting Zhu, David Andrew Clifton. arXiv (Cornell University), 2020. Cites: paper

Optimal Semi-supervised Estimation and Inference for High-dimensional Linear Regression
Siyi Deng, Yang Ning, Jiwei Zhao et al. arXiv (Cornell University), 2020. Cites: paper

Pre-training phenotyping classifiers
Dmitriy Dligach, Majid Afshar, Timothy A. Miller. Journal of Biomedical Informatics, 2020. Cites: paper

Community Detection in a Patient-Centric Social Network
Swarupananda Bissoyi, Manas Ranjan Patra. Advances in intelligent systems and computing, 2020. Cites: paper

Predicting Unplanned Readmissions Following a Hip or Knee Arthroplasty: Retrospective Observational Study
Ramin Mohammadi, Sarthak Jain, Amir T. Namin et al. JMIR Medical Informatics, 2020. Cites: paper

Was ist neu … Einsatz von künstlicher Intelligenz in der Intensivmedizin
Lukas Märtin, Arne Peine. Der Anaesthesist, 2020. Cites: paper

Deep learning and the electrocardiogram: review of the current state-of-the-art
Sulaiman S. Somani, Adam J. Russak, Felix Richter et al. EP Europace, 2020. Cites: paper

Effects of etomidate use in ICU patients on ventilator therapy: a study of 12,526 patients in an open database from a single center
Ha Yeon Park, Younsuk Lee, Chi‐Yeon Lim et al. Korean Journal of Anesthesiology, 2020. Cites: paper

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
Joo Heung Yoon, Vincent Jeanselme, Artur W. Dubrawski et al. Critical Care, 2020. Cites: paper

A Computational Model to Predict Brain Trauma Outcome in the Intensive Care Unit
Anil K. Palepu, Aditya Murali, Jenna L. Ballard et al. medRxiv, 2020. Cites: paper

Associations Between Predialysis Creatinine, SOFA Score, and Mortality in Acute Kidney Injury Patients Requiring Dialysis
Hsin-Hsiung Chang, Chia‐Lin Wu, Ping‐Fang Chiu. Research Square, 2020. Cites: paper

Deep Learning for Diabetes: A Systematic Review
Taiyu Zhu, Kezhi Li, Pau Herrero et al. IEEE Journal of Biomedical and Health Informatics, 2020. Cites: paper

A Machine Learning decision-making tool for extubation in Intensive Care Unit patients
Alexandre Fabregat, Mònica Magret, Josep Anton Ferré et al. Computer Methods and Programs in Biomedicine, 2020. Cites: paper

Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study
Timothy B. Plante, Aaron M Blau, Adrian N. Berg et al. Journal of Medical Internet Research, 2020. Cites: paper

Ensemble of Deep Learning Models for In-Hospital Mortality Prediction
Quang H. Nguyen, Quang Van Le. Lecture notes in networks and systems, 2020. Cites: paper

Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome
An-Kwok Ian Wong, Patricia C. Cheung, Rishikesan Kamaleswaran et al. Frontiers in Big Data, 2020. Cites: paper

PowerShell-based novel framework for Big health data analysis
Wei Ren, Dong Wan, Huifeng Zhu et al. International Journal of Information Technology, 2020. Cites: paper

Predicting hypotension in the ICU using noninvasive physiological signals
Mina Chookhachizadeh Moghadam, Ehsan Masoumi, Samir M. Kendale et al. Computers in Biology and Medicine, 2020. Cites: paper

Norepinephrine, Dopamine, and Vasopressin in Patients with Sepsis and Preexisting or Acute Heart Failure: A Retrospective Cohort Study
Dandan Zhou, Baohua Zhu, Jie Jiang et al. Medical Science Monitor, 2020. Cites: paper

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
Zina M. Ibrahim, Daniel M. Bean, Thomas Searle et al. arXiv (Cornell University), 2020. Cites: paper

An empirical characterization of fair machine learning for clinical risk prediction
Stephen R. Pfohl, Agata Foryciarz, Nigam Haresh Shah. Journal of Biomedical Informatics, 2020. Cites: paper

Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology
Ahmed Youssef Ali Amer, Femke Wouters, Julie Vranken et al. Sensors, 2020. Cites: paper

A Low-Cost Electronic System for Human-Body Communication
Adriano S. Vale-Cardoso, Mariana Geny Moreira, Kristtopher K. Coelho et al. Electronics, 2020. Cites: paper

Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets
Denis R. Newman-Griffis, Guy Divita, Bart Desmet et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Healthcare Transformation in Singapore With Artificial Intelligence
Siqi Liu, Qianwen Stephanie Ko, Kun Qiang Amos Heng et al. Frontiers in Digital Health, 2020. Cites: paper

Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity
Lin Yao, Zhenyu Chen, Haibo Hu et al. Distributed and Parallel Databases, 2020. Cites: paper

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records
Kejing Yin, William K. Cheung, Benjamin C. M. Fung et al. IEEE Transactions on Knowledge and Data Engineering, 2020. Cites: paper

Serum Anion Gap Is Associated with All-Cause Mortality among Critically Ill Patients with Congestive Heart Failure
Yiyang Tang, Wenchao Lin, Lihuang Zha et al. Disease Markers, 2020. Cites: paper

Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau, Elisa Cirillo. 2020. Cites: paper

A Pre-Training Technique to Localize Medical BERT and to Enhance Biomedical BERT
Shoya Wada, Toshihiro Takeda, Shiro Manabe et al. 2020. Cites: paper

Federated Learning for Healthcare Informatics
Jie Xu, Benjamin Scott Glicksberg, Chang Su et al. Journal of Healthcare Informatics Research, 2020. Cites: paper

Perioperative Renoprotection: Clinical Implications
Khaschayar Saadat-Gilani, Alexander Zarbock, Melanie Meersch. Anesthesia & Analgesia, 2020. Cites: paper

Development and Validation of an Automated Algorithm to Detect Atrial Fibrillation Within Stored Intensive Care Unit Continuous Electrocardiographic Data: Observational Study
Allan J. Walkey, Syed Khairul Bashar, Md-Billal Hossain et al. JMIR Cardio, 2020. Cites: paper

Project based learning in Biomedical Data Science using the MIMIC III open dataset
Luis Alcalá, Juan Miguel Garcia-Gomez, Carlos Sáez. International Conference on Innovation, Documentation and Education (INNODOCT), 2020. Cites: paper

Spoken Medical Prescription Acquisition Through a Dialogue System on Smartphone: Perspective of a Healthcare Software Company
Ali Can Kocabiyikoglu, François Portet, Jean-Marc Babouchkine et al. HAL, 2020. Cites: paper

Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records
Cinyoung Hur, JeongA Wi, Youngbin Kim. International Journal of Environmental Research and Public Health, 2020. Cites: paper

Predicting the Need For Vasopressors in the Intensive Care Unit Using an Attention Based Deep Learning Model
Gloria Hyunjung Kwak, Lowell Ling, Pan Hui. Shock, 2020. Cites: paper

Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology
Harry Freitas da Cruz, Boris Pfahringer, Tom Martensen et al. Artificial Intelligence in Medicine, 2020. Cites: paper

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