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An automated software methodology for statistics, data pre-processing, and machine learning
DOI:10.1016/j.cmpb.2025.109096.png)
Abstract
En 中文
• Exponential increase in biomedical data has made analysis increasingly challenging • Analysis requires substantial training and expertise to arrive at valid conclusions • This study designs a novel software methodology for automated clinical data analysis • Includes data pre-processing, statistics, survival analysis, and machine learning • Use-case scenarios are explored to illustrate major capabilities of the system
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