Application of SPSS Modeler in Predicting the Mortality Risk of Hospitalized Patients with Stroke
YOU Jia1, LI Aiyang2a, WANG Senlin2b, WEI Lan3, FEI Xiaolu3, CHEN Hui1
1. School of Biomedical Engineering, Capital Medical University, Beijing 100069, China;
2. a. Department of Gynecology; b. Department of Internal Medicine, Beijing Miyun Hospital, Beijing 101500, China;
3. Information Centre, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Abstract：As the development of hospital information architecture, more and more researchers focusd on the prediction of mortality
risk using medical records. The home page of inpatient medical record is an important kind of medical data with high quality,
including inpatients’ basic information, disease diagnoses, procedural and examination, and hospitalization index. In this paper, we
collected home pages of inpatient medical records from two hospitals in the past three years, and extracted patients’ age, sex, stroke
type, admission path, and chronic comorbidities and survival status. They were used as predictors to build a K-nearest neighbors
based predictive model for in-hospital mortality risk of stroke patients.
游佳1，李爱阳2a，王森林2b，魏岚3，费晓璐3，陈卉1. SPSS Modeler在脑卒中患者预后建模中的应用[J]. 中国医疗设备, 2018, 33(10): 60-63.
YOU Jia1, LI Aiyang2a, WANG Senlin2b, WEI Lan3, FEI Xiaolu3, CHEN Hui1. Application of SPSS Modeler in Predicting the Mortality Risk of Hospitalized Patients with Stroke. China Medical Devices, 2018, 33(10): 60-63.
