Lara J. Kanbar

发表

Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability

Doina Precup, Lara J. Kanbar, Karen A. Brown, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Correlation of clinical parameters with cardiorespiratory behavior in successfully extubated extremely preterm infants

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated ongoing data validation and quality control of multi-institutional studies

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

APEX_SCOPE: A graphical user interface for visualization of multi-modal data in inter-disciplinary studies

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Predicting extubation readiness in extreme preterm infants based on patterns of breathing

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infants

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Organizational principles of cloud storage to support collaborative biomedical research

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Prediction of Extubation readiness in extremely preterm infants by the automated analysis of cardiorespiratory behavior: study protocol

Lara J. Kanbar, Doina Precup, R. Kearney, 2017, BMC Pediatrics.

The Impact of Time Interval between Extubation and Reintubation on Death or Bronchopulmonary Dysplasia in Extremely Preterm Infants

Lara J. Kanbar, Doina Precup, R. Kearney, 2019, The Journal of pediatrics.

Automated prediction of extubation success in extremely preterm infants: the APEX multicenter study

Lara J. Kanbar, Charles C. Onu, Doina Precup, 2022, Pediatric Research.

Patterns of reintubation in extremely preterm infants: a longitudinal cohort study

Lara J. Kanbar, Doina Precup, R. Kearney, 2018, Pediatric Research.

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Lara J. Kanbar, Benjamin D. Wissel, Yizhao Ni, 2022, JMIR medical informatics.

Heart Rate Variability in Extremely Preterm Infants Receiving Nasal CPAP and Non-Synchronized Noninvasive Ventilation Immediately After Extubation

Lara J. Kanbar, R. Kearney, W. Shalish, 2018, Respiratory Care.

Cardiorespiratory behavior of preterm infants receiving continuous positive airway pressure and high flow nasal cannula post extubation: randomized crossover study

Lara J. Kanbar, R. Kearney, W. Shalish, 2019, Pediatric Research.