Journal Press India^®

Author Details ( * ) denotes Corresponding author

The healthcare industry has seen a rise in data security and privacy problems in recent years. In addition to jeopardizing patient trust, these violations have serious negative effects on healthcare institutions' finances, reputation, and legal standing. Understanding the urgent need for privacy-preserving safeguards in healthcare machine learning requires examining the number, scale, and effects of these breaches. Various machine learning strategies are deployed to achieve the security but the challenges of encryption and decryption remains to be addressed. This article tries to exemplify this scenario in detail.

Keywords

Machine Learning Algorithms; Security; Healthcare; Patient Data; Encryption; Decryption

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