Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases.

In this study, we sought to incorporate a knowledge-driven approach into collaborative filtering to optimize results learned from clinical data. Our results demonstrated an improvement in performance over pure data-driven approaches with the potential to facilitate the differential diagnosis of rare diseases. PMID: 30815196 [PubMed - indexed for MEDLINE]
Source: AMIA Annual Symposium Proceedings - Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research