机构:[a]School of Biomedical Engineering, Capital Medical University, Beijing, China[b]Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China[c]Xuanwu Hospital, Capital Medical University, Beijing, China首都医科大学宣武医院信息中心
A comprehensive scheme of patient similarity based on different types of patient features and the corresponding similarity measurements was proposed. Patient similarity was used in building a predictive model where training samples similar to the index patient were selected instead of randomly selected samples. The predictive models using the proposed patient similarity measurement outperformed those using Euclidean distance based similarity and those not using patient similarity.
语种:
外文
PubmedID:
第一作者:
第一作者机构:[a]School of Biomedical Engineering, Capital Medical University, Beijing, China[b]Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China
通讯作者:
通讯机构:[a]School of Biomedical Engineering, Capital Medical University, Beijing, China[b]Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing, China[*1]School of Biomedical Engineering, Capital Medical University, No.10, Xitoutiao, YouAnMen, Fengtai District, Beijing, P.R.China, 100069
推荐引用方式(GB/T 7714):
Yanqun Huang,Ni Wang,Honglei Liu,et al.Study on Patient Similarity Measurement Based on Electronic Medical Records.[J].Studies in health technology and informatics.2019,264:1484-1485.doi:10.3233/SHTI190496.
APA:
Yanqun Huang,Ni Wang,Honglei Liu,Hui Zhang,Xiaolu Fei...&Hui Chen.(2019).Study on Patient Similarity Measurement Based on Electronic Medical Records..Studies in health technology and informatics,264,
MLA:
Yanqun Huang,et al."Study on Patient Similarity Measurement Based on Electronic Medical Records.".Studies in health technology and informatics 264.(2019):1484-1485