Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM

IEEE Journal of Biomedical and Health Informatics

Volumn 21, Issue 3, 2017, Pages 838-850

  Zhu, Hui ^a   Liu, Xiaoxia ^a   Lu, Rongxing ^b   Li, Hui ^a  

^a XIDIAN UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Online medical prediagnosis; polynomial aggregation; privacy preserving; support vector machine (SVM)

Indexed keywords

CRYPTOGRAPHY; DIAGNOSIS; LEARNING ALGORITHMS; MHEALTH; PREDICTIVE ANALYTICS; SECURITY OF DATA; SUPPORT VECTOR MACHINES;

AGGREGATION TECHNIQUES; COMMUNICATION OVERHEADS; HEALTH CARE PROVIDERS; ONLINE MEDICAL PREDIAGNOSIS; PERSONAL HEALTH INFORMATIONS; PRIVACY PRESERVING; PRIVACY-PRESERVING CLASSIFICATION; SECURITY AND PRIVACY;

MEDICAL INFORMATION SYSTEMS;

DIAGNOSIS; DOCTOR PATIENT RELATION; GENE EXPRESSION REGULATION; HEALTH CARE PERSONNEL; HUMAN; MASKING; MEDICAL INFORMATION; MODEL; PREDICTION; PRIVACY; SMARTPHONE; SUPPORT VECTOR MACHINE; MEDICAL INFORMATICS; PROCEDURES;

DIAGNOSIS; HUMANS; MEDICAL INFORMATICS; SUPPORT VECTOR MACHINE;

EID: 85019425987     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2016.2548248     Document Type: Article

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