Anomaly Detection and Data Quality Assessment in EDC Systems

Cdm › Machine Learning EDC Optimization Research

Anomaly Detection and Data Quality Assessment in EDC Systems

Interns will build anomaly detection models using isolation forests, autoencoders, and statistical methods to identify data entry errors and system inconsistencies in electronic data capture platforms. They will create validation frameworks and contribute to improving overall data integrity.

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