Identifying the risk factors of 30 days mortality for ventilator dependent patients
碩士 === 中國醫藥學院 === 醫務管理研究所 === 90 === This study was designed to investigate the risk factors of 30 days mortality for ventilator dependent patients on respiratory care ward (RCW), and to establish the predictive model. Logistic regression was utilized to analyze data. A retrospective coll...
Main Authors: | Loo, Yeong-Dar, 羅永達 |
---|---|
Other Authors: | Ma, Tso-Chiang |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/77154987500363986213 |
Similar Items
-
Machine Learning Models to Predict 30-Day Mortality in Mechanically Ventilated Patients
by: Jong Ho Kim, et al.
Published: (2021-05-01) -
Risk Factors Associated with 30-Day Mortality in Older Patients with Influenza
by: Charles Guesneau, et al.
Published: (2021-08-01) -
Percutaneous endoscopic gastrostomy: 30-day mortality trends and risk factors
by: Price C, et al.
Published: (2005-01-01) -
Factors Affecting Ventilator-Dependent Patients and their Mortality in Taiwan.
by: Pin-Chen Chen, et al.
Published: (2007) -
Risk Factors for 30-Day Mortality in Patients with Methicillin-Resistant Staphylococcus aureus Bloodstream Infections
by: Pedro Ayau, et al.
Published: (2017-08-01)