000			a
999			_c17277 _d17277
003			OSt
005			20220820094919.0
008			220820b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_917513 _aDomadiya, Nikunj
245			_aElgamal homomorphic encryption-based privacy preserving association rule mining on horizontally partitioned healthcare data
250			_aVol.103(3), June
260			_aNew York _bSpringer _c2022
300			_a817-830p.
520			_aIn today’s world, life-threatening diseases have become a pre-eminent issue in healthcare due to the higher mortality rate. It is possible to lower this mortality rate by utilizing healthcare intelligence to detect diseases early. Patient’s medical data is stored in the EHR system, which is kept up to date by the healthcare provider. Data mining techniques like Association Rule Mining can detect a patient’s disease from their symptoms using digital healthcare data stored in the EHR system. Association rule mining’s efficacy can be improved by using global data from various EHR systems. It mandates that all EHR systems exchange healthcare records to a central server. When personal health information is made available on an untrusted server, several privacy laws may be violated. As a result, the challenge of privacy preserving distributed healthcare data mining has become a well-known study field in the healthcare industry. This research uses an efficient ElGamal homomorphic encryption technique to protect privacy in a distributed association rule mining. The proposed approach to discover the risk factor of most life-threatening diseases like breast cancer and heart disease with its symptoms and discuss the scope for combating COVID-19. Theoretical analysis of the proposed approach shows that it is efficient and maintains privacy in an insecure communication environment. An experimental study with a real dataset shows the proposed approach’s benefit compared to the local single EHR system results.
650		0	_94642 _aHumanities and Applied Sciences
700			_917514 _aRao, Udai Pratap
773	0		_tJournal of the institution of engineers (India): Series B _x2250-2106
856			_uhttps://link.springer.com/article/10.1007/s40031-021-00696-1 _yClick here
942			_2ddc _cAR