Fraud detection in healthcare

A step-by-step guide to incorporating machine learning

whitepaper

AI, machine learning and data science have great potential value in a variety of healthcare use cases, none more so than anomaly detection. From readmission prediction to fraud, accurate, fast anomaly detection is necessary in order to provide a high standard of care and protect the finite resources available to do so.

Establishing a firm understanding of what data science, machine learning, and AI technologies can bring to anomaly detection use cases in healthcare today is a first step to making headway in these areas.

This whitepaper explores fraud detection as a use case for anomaly detection systems in healthcare, identifying what anomaly and fraud detection are, how they work, and when healthcare organisations can apply them.

Recommended

Visit/technology/33253/toyota-partners-with-nvidia-to-create-the-future-of-autonomous-vehicles
Technology

Toyota, NVIDIA partner on self-driving cars

20 Mar 2019

Most Popular

Visit/security/vulnerability/354309/patch-issued-for-critical-windows-bug
vulnerability

Patch issued for critical Windows bug

11 Dec 2019
Visit/hardware/354193/buy-it-to-grow-not-slow-your-business
Sponsored

Buy IT to grow, not slow, your business

25 Nov 2019
Visit/cloud/microsoft-azure/354230/microsoft-not-amazon-is-going-to-win-the-cloud-wars
Microsoft Azure

Microsoft, not Amazon, is going to win the cloud wars

30 Nov 2019
Visit/security/antivirus/354328/microsoft-to-scrap-security-essentials-when-windows-7-reaches-end-of-life
antivirus

Microsoft to scrap Security Essentials when Windows 7 reaches end-of-life

13 Dec 2019