Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yoshinori Yamanouchi"'
Autor:
Tomoko Nakanishi, Tokunori Ikeda, Taishi Nakamura, Yoshinori Yamanouchi, Akira Chikamoto, Koichiro Usuku
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Falling is a representative incident in hospitalization and can cause serious complications. In this study, we constructed an algorithm that nurses can use to easily recognize essential fall risk factors and appropriately perform an assessme
Externí odkaz:
https://doaj.org/article/c55aa20760a5450898fdf1a0ab7f884d
Autor:
Tomoko Nakanishi, Tokunori Ikeda, Taishi Nakamura, Yoshinori Yamanouchi, Akira Chikamoto, Koichiro Usuku
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/23c8c6eaa57b4323b9a4fc1a2ceaa7b3
Autor:
Yusuke Okadome, Jun Morinaga, Yoshinori Yamanouchi, Eiji Matsunaga, Hirotaka Fukami, Tsuyoshi Kadomatsu, Haruki Horiguchi, Michio Sato, Taichi Sugizaki, Manabu Hayata, Takeshi Sakaguchi, Ryo Hirayama, Tatsuhiro Ishimura, Takashige Kuwabara, Koichiro Usuku, Tatsuo Yamamoto, Masashi Mukoyama, Ryusuke Suzuki, Toshihiro Fukui, Yuichi Oike
Publikováno v:
Clinical and Experimental Nephrology. 27:329-339
Evaluating patients' risk for acute kidney injury (AKI) is crucial for positive outcomes following cardiac surgery. Our aims were first to select candidate risk factors from pre- or intra-operative real-world parameters collected from routine medical
Publikováno v:
Methods of Information in Medicine.
Background Owing to the linguistic situation, Japanese natural language processing (NLP) requires morphological analyses for word segmentation using dictionary techniques. Objective We aimed to clarify whether it can be substituted with an open-end d
Autor:
Akira Chikamoto, Koichiro Usuku, Taishi Nakamura, Yoshinori Yamanouchi, Tomoko Nakanishi, Tokunori Ikeda
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
Falling is a representative incident in hospitalization and can cause serious complications. In this study, we constructed an algorithm that nurses can use to easily recognize essential fall risk factors and appropriately perform an assessment. A tot
Autor:
Keiichi, Nakahara, Tokunori, Ikeda, Koutaro, Takamatsu, Nozomu, Tawara, Kentaro, Hara, Yuki, Enokida, Naomi, Tanoue, Sawana, Narita, Akiko, Fujii, Yoshinori, Yamanouchi, Jun, Morinaga, Satoshi, Yamashita
Publikováno v:
Acta Medica Okayama. 74(3):261-264
Muscle biopsy can be used to confirm the diagnosis of neuromuscular diseases. However, it is unclear whether antibiotic prophylaxis prior to muscle biopsy is needed to prevent surgical site infection (SSI). We are conducting a phase 2, single-center,
Autor:
Hisashi Kanemaru, Yoshinori Yamanouchi, Kourin Sakakida, Jun Morinaga, Saori Mitsumasu, Eiichi Araki, Tokunori Ikeda, Sonoko Ishihara
Publikováno v:
The Kurume medical journal. 67(1)
The Clinical Trial Act came into force in 2018 in Japan. A questionnaire survey was conducted with personnel at Kumamoto University Hospital engaged in research and development, to explore their perceptions of troubles and concerns about clinical res
Autor:
Yuji Maki, Daisuke Sueta, Masanobu Ishii, Yoshinori Yamanouchi, Koichiro Fujisue, Kenshi Yamanaga, Taishi Nakamura, Noriaki Tabata, Yuichiro Arima, Satoshi Araki, Eiichiro Yamamoto, Koichi Kaikita, Akira Chikamoto, Kenichi Matsushita, Masao Matsuoka, Koichiro Usuku, Kenichi Tsujita
Publikováno v:
Medicine
Although the relationship between cardiovascular diseases and malignant diseases has recently attracted attention, the associations of cardiovascular risk factors and clinical outcomes in cancer patients remain to be elucidated. We performed a retros
Autor:
Koichiro Usuku, Yoshinori Yamanouchi, Akira Chikamoto, Tokunori Ikeda, Taishi Nakamura, Tomoko Nakanishi
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Falling is a representative incident in hospitalization and can cause serious complications. In this study, we constructed an algorithm that nurses can use to easily recognize essential fall risk factors and appropriately perform an assessment. A tot