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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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3 results for extubation

Model predicts extubation success in preterm infants.

problem Predicting successful extubation in preterm infants to minimize complications.
method Applied Markov and semi-Markov chain models to analyze respiratory patterns.
result Up to 84% of infants who failed extubation could have been predicted prior to extubation.

Approach predicts extubation readiness with high accuracy.

problem High reintubation rates due to inconsistent extubation readiness prediction.
method Random Forest classifiers trained on undersampled cardiorespiratory variability data.
result 71% of infants who failed extubation were correctly identified.

Study uses semi-Markov models to analyze respiratory patterns of preterm infants before extubation.

problem Analyzing respiratory patterns of preterm infants before and after extubation.
method Developed semi-Markov models to compare respiratory patterns of infants who succeeded extubation and those who required reintubation.
result Semi-Markov models reveal unique similarities and differences between infants who succeeded extubation and those who required reintubation.