Approximately 40% of patients admitted to the medical intensive care unit (ICU) require mechanical ventilation. An accurate\nprediction of successful extubation in patients is a key clinical problem in ICUdue to the fact that the successful extubation is highly\nassociated with prolonged ICU stay.The prolonged ICU stay is also associated with increasing cost and mortality rate in healthcare\nsystem. This study is retrospective in the aspect of ICU. Hence, a total of 41 patients were selected from the largest academic\nmedical center in Taiwan. Our experimental results show that predicting successful rate of 87.8% is obtained from the proposed\npredicting function. Based on several types of statistics analysis, including logistic regression analysis, discriminant analysis, and\nbootstrap method, threemajor successful extubation predictors, namely, rapid shallowbreathing index, respiratory rate, and minute\nventilation, are revealed. The prediction of successful extubation function is proposed for patients, ICU, physicians, and hospital\nfor reference.
Loading....