@inproceedings{6538cec8ffc044ccaadd3f9656bc617b,
title = "Applying matrix factorization in data reconstruction for heart disease patient classification",
abstract = "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.",
author = "Huaxia Wang and Yao, {Yu Dong} and Wei Qian and Fleming Lure",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 ; Conference date: 13-10-2015 Through 17-10-2015",
year = "2015",
doi = "10.1109/HealthCom.2015.7454506",
language = "English (US)",
series = "2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "245--249",
booktitle = "2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015",
address = "United States",
}