Temporal detection and analysis of guideline interactions

Conclusion We propose an innovative approach to the detection and analysis of interactions between CPGs considering different sources of temporal information (CPGs, ontological knowledge and execution logs), which is the first one in the literature that takes into account the temporal issues, and accounts for different application scenarios.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research