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

, , , , , , , and . EMBC, page 5630-5633. IEEE, (2012)

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Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants., , , , , and . EMBC, page 4427-4430. IEEE, (2015)Organizational principles of cloud storage to support collaborative biomedical research., , , , , , and . EMBC, page 1231-1234. IEEE, (2015)Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants., , , , , , and . EMBC, page 4940-4944. IEEE, (2018)Automated ongoing data validation and quality control of multi-institutional studies., , , , , and . EMBC, page 2504-2507. IEEE, (2016)Developing an Automated Recipient Risk Prediction Tool for Life-long Mortality After Pediatric Heart Transplantation., , , , and . AMIA, AMIA, (2021)A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infants., , , , , , and . EMBC, page 2022-2026. IEEE, (2017)Correlation of clinical parameters with cardiorespiratory behavior in successfully extubated extremely preterm infants., , , , , , and . EMBC, page 4431-4434. IEEE, (2015)Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability., , , , , , , and . EMBC, page 5630-5633. IEEE, (2012)Predicting extubation readiness in extreme preterm infants based on patterns of breathing., , , , , , and . SSCI, page 1-7. IEEE, (2017)Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing., , , , , , and . CoRR, (2018)