Application to identify instances of anergia.

Development approach: Machine-learning. Classification of past or present symptom: Both. Classes produced: Positive

The output includes- Positive mentions include:

“feelings of anergia…”

Excludes negative mentions, e.g:

“no anergia”, “no evidence of anergia”, “no feeling of anergia”. Definitions: Search term(case insensitive): anergia

Cohen's k = 100% (50 un-annotated documents - 25 events/25 attachments, search term ‘anergia*’). Instance level i.e. for all specific mentions (testing done on 100 random documents):

Precision (specificity / accuracy) = 95% Recall (sensitivity / coverage) = 89% Patient level – All patients with primary diagnosis code F32 or F33 (testing done on 30 random document, one document per patient): Precision (specificity / accuracy) = 93%