Abstract
With the advancement in healthcare technology, the industry is moving from
conventional diagnosis methods to digital health platforms. These digital health
platforms are useful for patients in different ways like from initial disease diagnosis to
drug prescription and maintaining electronic health records. These health records
contain a lot of personal information of patients that has high monetary and intelligence
value, so such healthcare systems are more vulnerable and targeted by cyber thieves.
Several techniques have been implemented by healthcare organizations for the early
detection of such cyber threats and for securing the medical records of patients. One
such method is machine learning (ML) for the detection of threats or adulterated data
due to some payload ransomware. This chapter highlights different healthcare data
breaches and the impact of cyber-attacks on medical data using artificial neural
networks.