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Mizuki Katsuhisa

Observed name: M., Katsuhisa
ORCID: 0009-0001-2793-081X
Observed ORCID: 0009-0001-2793-081X
OpenAlex ID: A5093721231
A mixed-methods study on the pharmacological management of pain in Australian and Japanese nursing homes
2024 · Laura A Dowd, Shota Hamada, et al. · Age and Ageing · 14
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Impact of nurse-led interprofessional work in older patients with heart failure and multimorbidity: A retrospective cohort study
2024 · Yuichiro Saizen, Kasumi Ikuta, et al. · American Heart Journal Plus Cardiology Research and Practice · 6
Eye‐Tracking‐Based Cognitive Assessment Predicts the Risk of Memory Decline: A Community‐Based Cohort Study
2026 · Mizuki Katsuhisa, Shin Teshirogi, et al. · Geriatrics and gerontology international/Geriatrics & gerontology international · 5
Machine Learning Prediction for Postdischarge Falls in Older Adults: A Multicenter Prospective Study
2024 · Yuko Takeshita, Mai Onishi, et al. · Journal of the American Medical Directors Association · 5
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Eye-Tracking-Based Cognitive Assessment Efficiently Detects Mild Cognitive Decline in the Predementia Stage
2024 · Mizuki Katsuhisa, Akane Oyama, et al. · Dementia and Geriatric Cognitive Disorders · 5
Characterization of Usage Patterns of Drugs Suspected to Cause Adverse Drug Reactions in Older Hospitalized Patients
2026 · Mizuki Katsuhisa, Shota Hamada, et al. · Geriatrics and gerontology international/Geriatrics & gerontology international · 1
ICT Tool for Multidisciplinary Collaboration for Reducing All-Cause Mortality in Older Patients with Heart Failure and Multimorbidity: A Retrospective Cohort Study
2025 · Yuichiro Saizen, Tomoaki Higo, et al. · Aging Medicine and Healthcare · 1
An eye-tracking-based Stroop test: an efficient method for evaluating frontal lobe function
2026 · Sho Yamamoto, Shuko Takeda, et al. · Frontiers in Aging Neuroscience
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Prediction Models for Early Post-Discharge Falls Among Older Adults Using Machine Learning: A Prospective Cohort Study
2024 · Mai Onishi, Yuko Takeshita, et al. · Research Square
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Works count: 10
Citation count: 37
H-index: 5
I10-index: 1
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