Automatic mining of symptom severity from psychiatric evaluation notes.

George KarystianisAlejo J NevadoChi-Hun KimAzad DehghanJohn A KeaneGoran Nenadic

Published in: International journal of methods in psychiatric research (2017)

Although more work is needed to improve the accuracy, the results are encouraging and indicate that automated text mining methods can be used to classify mental health symptom severity from free text psychiatric notes to support epidemiological and clinical research.

Keyphrases

mental health
deep learning
machine learning
smoking cessation
mental illness
patient reported
high throughput
single cell