Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
M
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
MD Asif Hassan Reon's research focuses on developing unified machine learning methodologies for anomaly detection and institutional decision support. His work integrates financial transactions and clinical records to identify real-time anomalies in high-stakes domains. Reon's recent publication addresses the application of machine learning for decision support systems.
Metrics
- Publications: 2
Selected Publications
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WPIS: Machine Learning-Driven E-Commerce Churn Prediction Integrating Technical Metrics and Information Quality for Strategic MIS Decision Support (2026)
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FROM FINANCIAL TRANSACTIONS TO CLINICAL RECORDS: A UNIFIED MACHINE LEARNING METHODOLOGY FOR REAL-TIME ANOMALY DETECTION AND INSTITUTIONAL DECISION SUPPORT IN HIGH-STAKES DOMAINS (2025)
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ADAPTIVE AI-DRIVEN ANALYTICAL FRAMEWORKS FOR HIGH-STAKES INSTITUTIONAL DECISION-MAKING: REAL-TIME FRAUD DETECTION AND EARLY DISEASE DIAGNOSIS ACROSS FINANCIAL AND HEALTHCARE SYSTEMS (2025)
Collaboration Network
Top Collaborators
Abdul Aziz Kabir
Westcliff University
2 shared publications
- ADAPTIVE AI-DRIVEN ANALYTICAL FRAMEWORKS FOR HIGH-STAKES INSTITUTIONAL DECISION-MAKING: REAL-TIME FRAUD DETECTION AND EARLY DISEASE DIAGNOSIS ACROSS FINANCIAL AND HEALTHCARE SYSTEMS
- FROM FINANCIAL TRANSACTIONS TO CLINICAL RECORDS: A UNIFIED MACHINE LEARNING METHODOLOGY FOR REAL-TIME ANOMALY DETECTION AND INSTITUTIONAL DECISION SUPPORT IN HIGH-STAKES DOMAINS
Saeed Ur Rashid
Westcliff University
2 shared publications
- ADAPTIVE AI-DRIVEN ANALYTICAL FRAMEWORKS FOR HIGH-STAKES INSTITUTIONAL DECISION-MAKING: REAL-TIME FRAUD DETECTION AND EARLY DISEASE DIAGNOSIS ACROSS FINANCIAL AND HEALTHCARE SYSTEMS
- FROM FINANCIAL TRANSACTIONS TO CLINICAL RECORDS: A UNIFIED MACHINE LEARNING METHODOLOGY FOR REAL-TIME ANOMALY DETECTION AND INSTITUTIONAL DECISION SUPPORT IN HIGH-STAKES DOMAINS
Md. Soebur Rahman
2 shared publications
- ADAPTIVE AI-DRIVEN ANALYTICAL FRAMEWORKS FOR HIGH-STAKES INSTITUTIONAL DECISION-MAKING: REAL-TIME FRAUD DETECTION AND EARLY DISEASE DIAGNOSIS ACROSS FINANCIAL AND HEALTHCARE SYSTEMS
- FROM FINANCIAL TRANSACTIONS TO CLINICAL RECORDS: A UNIFIED MACHINE LEARNING METHODOLOGY FOR REAL-TIME ANOMALY DETECTION AND INSTITUTIONAL DECISION SUPPORT IN HIGH-STAKES DOMAINS
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