Search Results - "Shimoda, Akihiro"

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  1. 1

    Dementia risks identified by vocal features via telephone conversations: A novel machine learning prediction model by Shimoda, Akihiro, Li, Yue, Hayashi, Hana, Kondo, Naoki

    Published in PloS one (14-07-2021)
    “…Due to difficulty in early diagnosis of Alzheimer's disease (AD) related to cost and differentiated capability, it is necessary to identify low-cost,…”
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    Journal Article
  2. 2

    Our health, our planet: a cross-sectional analysis on the association between health consciousness and pro-environmental behavior among health professionals by Shimoda, Akihiro, Hayashi, Hana, Sussman, David, Nansai, Keisuke, Fukuba, Isao, Kawachi, Ichiro, Kondo, Naoki

    “…One possible predictive factor that affects both pro-environmental behavior and health behavior is health consciousness (a psychological state where an…”
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    Journal Article
  3. 3

    The role of ultrasound imaging in adult patients with testicular torsion: a systematic review and meta-analysis by Ota, Koshi, Fukui, Keisuke, Oba, Koji, Shimoda, Akihiro, Oka, Masahiro, Ota, Kanna, Sakaue, Masahide, Takasu, Akira

    Published in Journal of medical ultrasonics (2001) (12-07-2019)
    “…Purpose Our aim was to determine the accuracy of ultrasound (US) examination-based testicular torsion diagnosis in adult patients with acute scrotal pain…”
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    Journal Article
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    Spatio-temporal factorization of log data for understanding network events by Kimura, Tatsuaki, Ishibashi, Keisuke, Mori, Tatsuya, Sawada, Hiroshi, Toyono, Tsuyoshi, Nishimatsu, Ken, Watanabe, Akio, Shimoda, Akihiro, Shiomoto, Kohei

    “…Understanding the impacts and patterns of network events such as link flaps or hardware errors is crucial for diagnosing network anomalies. In large production…”
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    Conference Proceeding
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    Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme by Shimoda, Akihiro, Ichikawa, Daisuke, Oyama, Hiroshi

    “…•Our predictive models applying machine learning methods were able to identify non-participants more precisely than heuristic method.•The present study…”
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    Journal Article
  8. 8

    Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program by Shimoda, Akihiro, Ichikawa, Daisuke, Oyama, Hiroshi

    “…•The prediction models outperformed conventional methods for predicting participation in instruction program after general health check-up.•There was no…”
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    Journal Article
  9. 9

    Postal reminder with reduced burden of clinic information seeking for equitable participation in general health check-ups: A randomized controlled trial by Shimoda, Akihiro, Saito, Yoshiyuki, Kondo, Naoki

    Published in Preventive medicine (01-04-2022)
    “…High participation rate and low inequality in participation are key to the program success of general health check-ups in Japan. This study examined the…”
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    Journal Article
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    Statistical estimation of the names of HTTPS servers with domain name graphs by Mori, Tatsuya, Inoue, Takeru, Shimoda, Akihiro, Sato, Kazumichi, Harada, Shigeaki, Ishibashi, Keisuke, Goto, Shigeki

    Published in Computer communications (15-11-2016)
    “…•We present the domain name graph (DNG), which is a formal expression that can keep track of CNAME chains and characterize the dynamic and diverse nature of…”
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    Journal Article
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    Sensor in the Dark: Building Untraceable Large-Scale Honeypots Using Virtualization Technologies by Shimoda, Akihiro, Mori, Tatsuya, Goto, Shigeki

    “…A Honeypot is a system that aims to detect and analyze malicious attacks attempted on a network in an interactive manner. Because the primary objective of a…”
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    Conference Proceeding
  14. 14

    Inferring Popularity of Domain Names with DNS Traffic: Exploiting Cache Timeout Heuristics by Shimoda, Akihiro, Ishibashi, Keisuke, Sato, Kazumichi, Tsujino, Masayuki, Inoue, Takeru, Shimura, Masaki, Takebe, Takanori, Takahashi, Kazuki, Mori, Tatsuya, Goto, Shigeki

    “…Popularity ranking of Internet services is an important metric for network operators, because it enables mid- to-long term planning of their network facilities…”
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    Conference Proceeding
  15. 15

    i-Path: Improving Path Visibility for the Future Internet by Mochinaga, D., Kobayashi, K., Yamada, R., Goto, S., Shimoda, A., Murase, I.

    “…In this paper, we present the concept design, and implementation of a novel network measurement system for the future Internet. The new protocol offers…”
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    Conference Proceeding