Anomaly detection: 4 AI-based approaches

Fraud Detection in Healthcare

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In the healthcare industry, across readmission prediction to fraud prevention, accurate, fast anomaly detection is necessary in order to provide a high standard of care and protect the finite resources available to do so.

And although there isn’t a universal approach to anomaly detection, there are many use cases that span the industry that harness data science, machine learning, and AI— making them now crucial elements in improving patient care

Access this white paper to learn the 3 basic types of anomalies that may be detected and to learn how to confront the challenges of fraud and anomaly detection with 4 AI and ML-based approaches.

Vendor:
Dataiku
Posted:
14 Jan 2020
Published:
14 Jan 2020
Format:
PDF
Length:
20 Page(s)
Type:
eGuide
Language:
English
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