Objective To investigate prognostic factors in patients receiving mechanical ventilation. Methods 91 patients receiving mechanical ventilation from Jan 2002 to May 2004 were divided into two groups: death group and survival group. The patients' clinical data were retrospectively analyzed by Logistic regression method. Results Of the 98 patients, 48 cases (52.7%) died in the ICU, and 43 cases (47.3%)were survival. By means of single factor analysis, differences in total hospitalized time, time stayed in ICU,active partial thromboplastin time, red cell count, the level of haemoglobin and blood glucose, and Acute Physiology and Chronic Health Evaluation (APACHE) II scores between the two groups were significant (P

Humans ; Neurilemmoma ; Paranasal Sinus Neoplasms ; Paranasal Sinuses ; pathology

This paper introduces the applications of network technology, wire and wireless technologies to designs of medical equipments. The theories and applications of such technologies are presented as the ones of serial communication, concurrent communication, USB interface, Bluetooth HomeRF, wireless network communication and GPRS.

Ultrasonic estimation of fetal weight is important in the management o f labor and delivery. Lots of charts and formulas have been put forward in virtu e of regression methods. Artificial neural network, a kind of computer artificia l intelligence technology, can simulate human thinking based on neural structure and physiology. With the excellence in complex and non-linear information proce ssing, artificial neural network is fitter for the forecasting of fetal weight t han traditional regression methods.