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Visit/technology/artificial-intelligence-ai/354766/mit-develops-ai-tech-to-edit-outdated-wikipedia
artificial intelligence (AI)

MIT develops AI tech to edit outdated Wikipedia articles

13 Feb 2020

Most Popular

Visit/security/privacy/355211/google-releases-location-data-to-showcase-effectiveness-of-coronavirus
privacy

Google releases location data to show effectiveness of coronavirus lockdowns

3 Apr 2020
Visit/data-insights/data-management/355170/oracle-cloud-courses-are-free-during-coronavirus-lockdown
data management

Oracle cloud courses are free during coronavirus lockdown

31 Mar 2020
Visit/software/355113/companies-offering-free-software-to-fight-covid-19
Software

These are the companies offering free software during the coronavirus crisis

2 Apr 2020
Visit/business-strategy/flexible-working/355186/why-were-lucky-covid-19-has-come-now
flexible working

Why we’re lucky COVID-19 has come now

3 Apr 2020