Prediction of length of ICU stay using data-mining techniques: An example of old critically ill postoperative gastric cancer patients

Asian Pacific Journal of Cancer Prevention

Volumn 13, Issue 1, 2012, Pages 97-101

  Zhang, Xiao Chun ^a   Zhang, Zhi Dan ^a   Huang, De Sheng ^a  

^a CHINA MEDICAL UNIVERSITY   (China)

Author keywords

China; Data mining; Gastric cancer; Intensive care

Indexed keywords

ADULT; AGED; APACHE; ARTICLE; COMORBIDITY; CRITICAL ILLNESS; DATA MINING; FEMALE; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MALE; MIDDLE AGED; NUTRITIONAL SUPPORT; POSTOPERATIVE PERIOD; PROGNOSIS; RETROSPECTIVE STUDY; RISK FACTOR; STOMACH TUMOR;

ADULT; AGED; AGED, 80 AND OVER; APACHE; COMORBIDITY; CRITICAL ILLNESS; DATA MINING; FEMALE; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; MALE; MIDDLE AGED; NUTRITIONAL SUPPORT; POSTOPERATIVE PERIOD; PROGNOSIS; RETROSPECTIVE STUDIES; RISK FACTORS; SEVERITY OF ILLNESS INDEX; STOMACH NEOPLASMS;

EID: 84864886849     PISSN: 15137368     EISSN: 2476762X     Source Type: Journal    
DOI: 10.7314/APJCP.2012.13.1.097     Document Type: Article

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