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The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

Hawelka et al [34] demonstrated a method for computing global travel patterns from Twitter, and Dredze et al [35] adapted this method to support efforts in combating the Zika virus epidemic. Several studies have used human mobility patterns from Twitter data [36-39]. These studies include analyses of urban mobility patterns [40-42]. Finally, some of these analyses considered mobility patterns around mass events [43].

Paiheng Xu, Mark Dredze, David A Broniatowski

J Med Internet Res 2020;22(12):e21499

Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods

The most restrictive evaluation measure is phrase-exact, in which we mark a prediction as correct only if the extracted and identified phrase exactly matched the labeled phrase. Under this metric, for the sentence “This patient walks with a walker,” an answer would only be correct if it identified the phrase “with a walker” (ie, the provided annotation) as walking difficulty but not if it selected “walks with a walker.”

Tao Chen, Mark Dredze, Jonathan P Weiner, Leilani Hernandez, Joe Kimura, Hadi Kharrazi

JMIR Med Inform 2019;7(1):e13039