Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Wakamiya, Shoko"'
Identification of Adverse Drug Event–Related Japanese Articles: Natural Language Processing Analysis
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 11, p e22661 (2020)
BackgroundMedical articles covering adverse drug events (ADEs) are systematically reported by pharmaceutical companies for drug safety information purposes. Although policies governing reporting to regulatory bodies vary among countries and regions,
Externí odkaz:
https://doaj.org/article/80ea049ffe044f678fd9d40d91fb929c
Autor:
Higashiyama, Shohei, Ouchi, Hiroki, Teranishi, Hiroki, Otomo, Hiroyuki, Ide, Yusuke, Yamamoto, Aitaro, Shindo, Hiroyuki, Matsuda, Yuki, Wakamiya, Shoko, Inoue, Naoya, Yamada, Ikuya, Watanabe, Taro
Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity mentions, and presents a Japanese travelogue dataset designed for evalu
Externí odkaz:
http://arxiv.org/abs/2305.13844
Autor:
Ouchi, Hiroki, Shindo, Hiroyuki, Wakamiya, Shoko, Matsuda, Yuki, Inoue, Naoya, Higashiyama, Shohei, Nakamura, Satoshi, Watanabe, Taro
We have constructed Arukikata Travelogue Dataset and released it free of charge for academic research. This dataset is a Japanese text dataset with a total of over 31 million words, comprising 4,672 Japanese domestic travelogues and 9,607 overseas tr
Externí odkaz:
http://arxiv.org/abs/2305.11444
Crowdsourced Hypothesis Generation and their Verification: A Case Study on Sleep Quality Improvement
A clinical study is often necessary for exploring important research questions; however, this approach is sometimes time and money consuming. Another extreme approach, which is to collect and aggregate opinions from crowds, provides a result drawn fr
Externí odkaz:
http://arxiv.org/abs/2205.07510
Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as resources to facilitate this task. Contemporary research focuses almost ex
Externí odkaz:
http://arxiv.org/abs/2204.02718
Autor:
Herman Bernardim Andrade, Gabriel, Nishiyama, Tomohiro, Fujimaki, Takako, Yada, Shuntaro, Wakamiya, Shoko, Takagi, Mari, Kato, Mizuki, Miyashiro, Isao, Aramaki, Eiji
Publikováno v:
In International Journal of Medical Informatics November 2024 191
Fake news causes significant damage to society.To deal with these fake news, several studies on building detection models and arranging datasets have been conducted. Most of the fake news datasets depend on a specific time period. Consequently, the d
Externí odkaz:
http://arxiv.org/abs/2108.12601
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and models based mainly on historical flu activity data and online user-generat
Externí odkaz:
http://arxiv.org/abs/2107.01760
Disease name recognition and normalization, which is generally called biomedical entity linking, is a fundamental process in biomedical text mining. Recently, neural joint learning of both tasks has been proposed to utilize the mutual benefits. While
Externí odkaz:
http://arxiv.org/abs/2104.10493
Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients
Influenza, an infectious disease, causes many deaths worldwide. Predicting influenza victims during epidemics is an important task for clinical, hospital, and community outbreak preparation. On-line user-generated contents (UGC), primarily in the for
Externí odkaz:
http://arxiv.org/abs/2104.06646