ExpertiseUpdated on 24 March 2025
Medical Fraud Detection
About
As a researcher specializing in the application of machine learning techniques within the healthcare sector, I have focused on developing innovative solutions to detect and prevent medical fraud. My research involves analyzing complex datasets and implementing advanced algorithms to identify fraudulent activities, thereby contributing to the integrity and efficiency of healthcare systems.
In a recent study, I employed various machine learning methodologies to classify provider-side medical fraud using medical claims data. This research demonstrated the effectiveness of artificial intelligence in accurately detecting fraudulent patterns, highlighting the potential of these technologies to enhance fraud prevention efforts in the healthcare industry.
Similar opportunities
Expertise
- Digital Health Data
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI)-based Tools and Technologies
Faraz Janan
Senior Teaching Fellow (AI) at Imperial College London
London, United Kingdom
Partnership
Mª Dolores Rodríguez
Professor/Researcher at universidad de alcala
Alcalá de Henares, Spain
Project cooperation
AI-Powered Digital Health Platform
- Early (Idea)
- Planning (Concept)
- Digital Health Data
- Digital Solutions and Digitalization
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI) based Tools and Technologies
Murat Emeç
AI-Researcher / IT Specialist at Istanbul Üniversitesi - BUYAMER
İstanbul, Türkiye