Eiji ARAMAKI

Professor

Nara Institute of Science and Technology（NAIST）

Japan

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Articles (19)

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (9)

Makoto Naganuma

Kansai Medical University

JAPAN

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Tomohiro Nishiyama

Nara Institute of Science and Technology

JAPAN

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Hayato Kizaki

Assistant Professor

Keio University

JAPAN

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Noriyo YAMASHIKI

Associate Professor

Kansai Medical University

JAPAN

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Shoko Wakamiya

Associate Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Shuntaro Yada

Assistant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Ryota Kobayashi

University of Tokyo

JAPAN

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Kongmeng Liew

Lecturer

Nara Institute of Science and Technology

NEW ZEALAND

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Satoko Hori

Keio University

JAPAN

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Eiji ARAMAKI

Research Interests

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Articles (19)

Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records

Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study

Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study

Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer

Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

Automated System to Capture Patient Symptoms from Multi-type Japanese Clinical Texts: Natural Language Processing Approach (Preprint)

Using the Natural Language Processing System Medical Named Entity Recognition-Japanese to Analyze Pharmaceutical Care Records: Natural Language Processing Analysis

Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences

Disruptions in the Cystic Fibrosis Community’s Experiences and Concerns During the COVID-19 Pandemic: Topic Modeling and Time Series Analysis of Reddit Comments

Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach

Narrowing the Patient–Physician Gap Based on Self-Reporting and Monthly Hepatologist Feedback for Patients With Alcohol-Related Liver Disease: Interventional Pilot Study Using a Journaling Smartphone App

Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study

Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs

Identification of hand-foot syndrome from cancer patients’ blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms

Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis

Modeling the spread of fake news on Twitter

Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses

Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study

Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach

Collaborators (9)

Makoto Naganuma

Tomohiro Nishiyama

Hayato Kizaki

Noriyo YAMASHIKI

Shoko Wakamiya

Shuntaro Yada

Ryota Kobayashi

Kongmeng Liew

Satoko Hori

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