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

The IT Pro Podcast: Attack of the AI hackers
artificial intelligence (AI)

The IT Pro Podcast: Attack of the AI hackers

14 Aug 2020
MIT develops AI tech to edit outdated Wikipedia articles
artificial intelligence (AI)

MIT develops AI tech to edit outdated Wikipedia articles

13 Feb 2020

Most Popular

How to find RAM speed, size and type
Laptops

How to find RAM speed, size and type

3 Aug 2020
How to use Chromecast without Wi-Fi
Mobile

How to use Chromecast without Wi-Fi

4 Aug 2020
How do I fix the Windows 10 Start Menu if it's frozen?
operating systems

How do I fix the Windows 10 Start Menu if it's frozen?

3 Aug 2020
How to move Windows 10 from your old hard drive to SSD
operating systems

How to move Windows 10 from your old hard drive to SSD

3 Aug 2020