News Finding: "The general expertise in NLP, the infrastructure for the access to the notes, and some of the support for the software comes through SCTR," says Lenert.
Paper Finding: The major reasons for a false positive included the ambiguities of the experiencer of social isolation, negation, and alternate meaning of words.
News Context: The team is already using NLP to identify patients with financial insecurity and alcohol abuse. "The general expertise in NLP, the infrastructure for the access to the notes, and some of the support for the software comes through SCTR," says Lenert. In a sense, NLP can help physicians "listen" to their patients better, understand their health challenges in the broader context of their lives, and provide more informed and nuanced care.
Paper Context: The NLP pipeline demonstrated 90% precision, 97% recall, and 93% F-measure. The major reasons for a false positive included the ambiguities of the experiencer of social isolation, negation, and alternate meaning of words. Conclusions: Our NLP algorithms demonstrate a highly accurate approach to identify social isolation.