Machine Learning In Healthcare Cybersecurity – Current Applications

The healthcare industry holds perhaps the most responsibility of any industry when it comes to ensuring data privacy. secure. A breach in electronic medical records (EMRs) could tarnish a healthcare company’s reputation, put undue stress on patients, and render the company in violation of regulations.

In this article, we cover how machine learning software could help healthcare companies protect their patients’ data as well as their network of computers across their enterprise. We discuss how the typical machine learning approaches to fraud detection, anomaly detection and predictive analytics, may help detect malware and other cybersecurity threats. Specifically, this article considers the following use-cases for machine learning for cybersecurity in healthcare: READ MORE ON: EMERJ

CultureYusra Hamid