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Author

Sadaf Jahan

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Open access Aug 2026

A PRIVACY-PRESERVING FRAMEWORK FOR SECURE ANALYTICS OF HEALTHCARE RECORDS IN MULTI-TENANT CLOUD ENVIRONMENTS

The safe system described in this paper tackles healthcare analytics problems by combining blockchain technology, privacy-preserving parameters, zero-knowledge proofs (zk-SNARKs), and a multi-tenant cloud environment.

Umme Habeeba Fatima, Lubna Nausheen, Sadaf Jahan · 0 citations
Open access Aug 2026

INSURANCE FRAUD DETECTION USING MACHINE LEARNING ON CLASSIMBALANCED DATASETS WITH MISSING VALUES

The findings show that correcting class imbalance is essential to enhancing model performance, and handling missing data also helps to produce predictions that are more trustworthy, and the AdaBoost Classifier greatly outperforms current methods.

Uzma Fatima, Lubna Nausheen, Sadaf Jahan · 0 citations

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