no code implementations • WS 2017 • Danielle Mowery, Brett South, Olga Patterson, Shu-Hong Zhu, Mike Conway
In this paper, we present pilot work on characterising the documentation of electronic cigarettes (e-cigarettes) in the United States Veterans Administration Electronic Health Record.
no code implementations • 28 Jan 2017 • Danielle Mowery, Craig Bryan, Mike Conway
In the second experiment, we observed that the optimal F1-score performance of top ranked features in percentiles variably ranged across classes e. g., fatigue or loss of energy (5th percentile, 288 features) to depressed mood (55th percentile, 3, 168 features) suggesting there is no consistent count of features for predicting depressive-related tweets.