A relevance and quality-based ranking algorithm applied to evidence-based medicine.

ABSTRACT:

Background

The amount of information available about millions of different subjects is growing every day. This has led to the birth of new search tools specialized in different domains, because classical information retrieval models have trouble dealing with the special characteristics of some of these domains. Evidence-based Medicine is a case of a complex domain where classical information retrieval models can help search engines retrieve documents by considering the presence or absence of terms, but these must be complemented with other specific strategies which allow retrieving and ranking documents including the best current evidence and methodological quality.

Objective

The goal is to present a ranking algorithm able to select the best documents for clinicians consider

SUBMITTER: Serrano-Guerrero J 

PROVIDER: S-EPMC7114639 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature