Genuine ratings for mobile apps with the support of authenticated users’ reviews

Manoj, Kevin; Sandeep, T.S.; Reddy, Narsi; Alikhan, P.M.D.

doi:10.1109/icgciot.2018.8753068

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…For explicit infections which treatment is given by expert and reliant on that seeing needs to offer analysis to the protection office for cases. From that analysis accomplishment rates and dissatisfactions are resolved using map-decline framework and think the illness-based mapping is done [12]. By and by yield started from mapping is commitment to reducer.…”

Section: Conclusion and Future Work Restorative Administrations Thementioning

confidence: 99%

Data Entities & its Privacy with Big Data Techniques in e-health systems

Khan,

Reddy,

Kumar*

2019

IJEAT

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Enormous information is rising innovation now in different territories, i.e. like online purchase, online medical services, tweet investigation, and saving money area. Presently today's insurance agencies are appearing towards investigation of their tremendous data samples comprises of patients & healing center's data. From those informational indexes they extricating some valuable data. For the most part they focus on progress and disappointment rate and input provided by the patients. Patients are going to provide the hospital center bills alongside release outline, medicinal reports to the insurance agency. In point of patient system assurance agency is choosing to endorse case & recommend for newly coming patients. In this paper, patient reports, indications, log records & criticisms are dissected utilizing enormous information innovations like infinispan and guide lessen ideas for information extraction and isolation in E-medical coverage. Uncovering of patient’s confidential data has been finished utilizing confidential information encrypting calculation.

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Section: Conclusion and Future Work Restorative Administrations Thementioning

confidence: 99%