Active learning for clinical text classification: is it better than random sampling?
For medical text classification, appropriate active learning algorithms can yield performance comparable to that of passive learning with considerably smaller training sets. In particular, our results suggest that DIV performs better on data with higher diversity and DIST on data with lower uncertainty.
Infliximab treatment does not induce replication of human lymphotropic herpesviruses in patients with rheumatoid arthritis. Thus, herpesviruses prophylaxis would not be indicated in these patients.