A Model Driven Approach to Imbalanced Data Sampling in Medical Decision Making

• Main Authors: Yin H., Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2010
• Subjects: Imbalanced data learning; Model driven sampling; Random sampling; Synthetic Minority Over Sampling (SMOTE); Databases and Information Systems; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/2988; http://dx.doi.org/10.3233/978-1-60750-588-4-856
• Institution: Singapore Management University

Classification is an important medical decision support function that can be seriously affected by disproportionate class distribution in the training data. In medical decision making, the rate of misclassification and the cost of misclassifying a minority (positive) class as a majority (negative) c...