Search Articles

View query in Help articles search

Search Results (1 to 10 of 17 Results)

Download search results: END BibTex RIS


Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

According to the previous study by Aramaki et al [15], most people report influenza information precisely in the early stage of an influenza season.

Shoko Wakamiya, Yukiko Kawai, Eiji Aramaki

JMIR Public Health Surveill 2018;4(3):e65


Extraction and Standardization of Patient Complaints from Electronic Medication Histories for Pharmacovigilance: Natural Language Processing Analysis in Japanese

Extraction and Standardization of Patient Complaints from Electronic Medication Histories for Pharmacovigilance: Natural Language Processing Analysis in Japanese

Although no previous studies have been completed in Japanese, Aramaki et al [30] reported on a system to extract medical event information from Japanese EHRs based on CRFs (precision: .85, recall: .77, F-measure: .81).

Misa Usui, Eiji Aramaki, Tomohide Iwao, Shoko Wakamiya, Tohru Sakamoto, Mayumi Mochizuki

JMIR Med Inform 2018;6(3):e11021