Text categorization models for high-quality article retrieval in internal medicine.
OBJECTIVE Finding the best scientific evidence that applies to a patient problem is becoming exceedingly difficult due to the exponential growth of medical publications. The objective of this study was to apply machine learning techniques to automatically identify high-quality, content-specific articles for one time period in internal medicine and compare their performance with previous Boolean-based PubMed clinical query filters of Haynes et al. DESIGN The selection criteria of the ACP [...]
Author(s): Aphinyanaphongs, Yindalon, Tsamardinos, Ioannis, Statnikov, Alexander, Hardin, Douglas, Aliferis, Constantin F
DOI: 10.1197/jamia.M1641