Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data Extraction and Management

October 08, 2023 · The Cartographer · 🏛 arXiv.org

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"Title-pattern auto-detect: Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data E"

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Authors Ghaith Alomari, Anas Aljarah arXiv ID 2310.05020 Category cs.DB: Databases Citations 1 Venue arXiv.org Last Checked 4 days ago

Abstract

Data extraction and management are crucial components of research and clinical workflows in Radiation Oncology (RO), where accurate and comprehensive data are imperative to inform treatment planning and delivery. The advent of automated data mining scripts, particularly using the Python Environment for Scripting APIs (PyESAPI), has been a promising stride towards enhancing efficiency, accuracy, and reliability in extracting data from RO Information Systems (ROIS) and Treatment Planning Systems (TPS). This review dissects the role, efficiency, and challenges of implementing PyESAPI in RO data extraction and management, juxtaposing manual data extraction techniques and explicating future avenues