TY - GEN
T1 - Applying matrix factorization in data reconstruction for heart disease patient classification
AU - Wang, Huaxia
AU - Yao, Yu Dong
AU - Qian, Wei
AU - Lure, Fleming
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Heart disease is one of the most severe health illnesses. Developing accurate and efficient methods to diagnose heart disease is crucial in providing good heart healthcare to patients. In this paper, a data mining based technique for diagnosing heart disease is introduced, in which heart disease related patient data sets are utilized. A matrix factorization based technique for missing data reconstruction is presented. Numerical results show that recovery data sets are able to achieve reliable diagnosis or classification performance comparable to using original completed patient datasets.
AB - Heart disease is one of the most severe health illnesses. Developing accurate and efficient methods to diagnose heart disease is crucial in providing good heart healthcare to patients. In this paper, a data mining based technique for diagnosing heart disease is introduced, in which heart disease related patient data sets are utilized. A matrix factorization based technique for missing data reconstruction is presented. Numerical results show that recovery data sets are able to achieve reliable diagnosis or classification performance comparable to using original completed patient datasets.
KW - Classification
KW - Data mining
KW - Machine learning
KW - Matrix factorization
UR - http://www.scopus.com/inward/record.url?scp=84966687576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966687576&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2015.7454506
DO - 10.1109/HealthCom.2015.7454506
M3 - Conference contribution
AN - SCOPUS:84966687576
T3 - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
SP - 245
EP - 249
BT - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
T2 - 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
Y2 - 13 October 2015 through 17 October 2015
ER -