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Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter
TLDR
With the recent rise in popularity and scale of social media, a growing need exists for systems that can extract useful information from huge amounts of data. Expand
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DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients.
Numerous diabetes-management systems and programs for improving glycemic control to meet guideline targets have been proposed, using IT technology. But all of them allow only limited-or no-real-timeExpand
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Overview of the NTCIR-10 MedNLP Task
TLDR
The NTCIR-10 MedNLP Task is a shared task that evaluates technologies to retrieve important information from medical reports written in Japanese. Expand
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TEXT2TABLE: Medical Text Summarization System Based on Named Entity Recognition and Modality Identification
TLDR
We propose TEXT2TABLE, a system that converts a medical text into a table structure. Expand
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Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study
TLDR
This study proposes a novel approach to estimate the trend of patient numbers using indirect information covering both urban areas and rural areas within the posts by embedding both direct information and indirect information. Expand
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Use trend analysis of twitter after the great east japan earthquake
TLDR
This paper presents a case study of how people used Twitter after the Great East Japan Earthquake. Expand
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Overview of the NTCIR-11 MedNLP-2 Task
TLDR
A shared task attempt to evaluate technologies to retrieve important information from medical reports written in Japanese, whereas the NTCIR-11 MedNLP-2 task has been designed for more advanced and practical use. Expand
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Finding Structural Correspondences from Bilingual Parsed Corpus for Corpus-based Translation
TLDR
In this paper, we describe a system and methods for finding structural correspondences from the paired dependency structures of a source sentence and its translation in a target language. Expand
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Overview of the NTCIR-12 MedNLPDoc Task
TLDR
This paper describes the NTCIR-12 MedNLPDoc task which is a multi-labeling task to a patient record. Expand
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Extraction of Adverse Drug Effects from Clinical Records
TLDR
With the rapidly growing use of electronic health records, the possibility of large-scale clinical information extraction has drawn much attention. Expand
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