Showing 1 - 11 results of 11 for search 'Sakiko Fukui', query time: 0.04s Refine Results
  1. 1
    Mortality from decreased food intake in older adults in nursing homes: A retrospective cohort study using electronic care record data

    Mortality from decreased food intake in older adults in nursing homes: A retrospective cohort study using electronic care record data by Kasumi Ikuta, Sakiko Fukui

    Published 2024-06-01
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  2. 2
    Association of weight loss and decreased food intake with mortality in the oldest population: People in their 80s versus those aged ≥90 years

    Association of weight loss and decreased food intake with mortality in the oldest population: People in their 80s versus those aged ≥90 years by Yuri Takada, Kasumi Ikuta, Sakiko Fukui

    Published 2025-06-01
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  3. 3
    Feasibility of Monitoring Heart and Respiratory Rates Using Nonwearable Devices and Consistency of the Measured Parameters: Pilot Feasibility Study

    Feasibility of Monitoring Heart and Respiratory Rates Using Nonwearable Devices and Consistency of the Measured Parameters: Pilot Feasibility Study by Kasumi Ikuta, Miya Aishima, Maiko Noguchi-Watanabe, Sakiko Fukui

    Published 2024-10-01
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  4. 4
    Effect of a multidisciplinary end-of-life educational intervention on health and social care professionals: A cluster randomized controlled trial.

    Effect of a multidisciplinary end-of-life educational intervention on health and social care professionals: A cluster randomized controlled trial. by Sakiko Fukui, Junko Fujita, Sumie Ikezaki, Eiji Nakatani, Mayuko Tsujimura

    Published 2019-01-01
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  5. 5
    Provision and related factors of end-of-life care in elderly housing with care services in collaboration with home-visiting nurse agencies: a nationwide survey

    Provision and related factors of end-of-life care in elderly housing with care services in collaboration with home-visiting nurse agencies: a nationwide survey by Sakiko Fukui, Naoko Otsuki, Sumie Ikezaki, Hiroki Fukahori, Saori Irie

    Published 2021-09-01
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  6. 6
    Family preference for place of death mediates the relationship between patient preference and actual place of death: a nationwide retrospective cross-sectional study.

    Family preference for place of death mediates the relationship between patient preference and actual place of death: a nationwide retrospective cross-sectional study. by Yoshiki Ishikawa, Sakiko Fukui, Toshiya Saito, Junko Fujita, Minako Watanabe, Kazuhiro Yoshiuchi

    Published 2013-01-01
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  7. 7
    Physical Function Trajectory among High-Functioning Long-Term Care Facility Residents: Utilizing Japanese National Data

    Physical Function Trajectory among High-Functioning Long-Term Care Facility Residents: Utilizing Japanese National Data by Kasumi Ikuta, Maiko Noguchi-Watanabe, Miya Aishima, Tatsuhiko Anzai, Kunihiko Takahashi, Sakiko Fukui

    Published 2024-09-01
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  8. 8
    The change over time of vital signs with consideration for opioid use in the last 2 weeks of life among cancer patients in a palliative care unit: Continuous measurement of vital signs using a non‐wearable monitor

    The change over time of vital signs with consideration for opioid use in the last 2 weeks of life among cancer patients in a palliative care unit: Continuous measurement of vital s... by Haruka Tanaka, Sakiko Fukui, Isseki Maeda, Yutaka Hatano, Akari Higuchi, Yoko Higami, Miyae Yamakawa, Momoe Utsumi

    Published 2021-12-01
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  9. 9
    Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups.

    Causal relations of health indices inferred statistically using the DirectLiNGAM algorithm from big data of Osaka prefecture health checkups. by Jun'ichi Kotoku, Asuka Oyama, Kanako Kitazumi, Hiroshi Toki, Akihiro Haga, Ryohei Yamamoto, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Keiichi Yamamoto, Toshiki Moriyama

    Published 2020-01-01
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  10. 10
    Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

    Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data by Hiroe Seto, Asuka Oyama, Shuji Kitora, Hiroshi Toki, Ryohei Yamamoto, Jun’ichi Kotoku, Akihiro Haga, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Toshiki Moriyama

    Published 2022-10-01
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  11. 11
    Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

    Author Correction: Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data by Hiroe Seto, Asuka Oyama, Shuji Kitora, Hiroshi Toki, Ryohei Yamamoto, Jun’ichi Kotoku, Akihiro Haga, Maki Shinzawa, Miyae Yamakawa, Sakiko Fukui, Toshiki Moriyama

    Published 2022-12-01
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