Yu Sun

Assistant　Professor

University of Tsukuba

Japan

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About

Yu Sun is an Assistant Professor at the University of Tsukuba, Japan. His research focuses on home healthcare, chronic diseases, and the impact of the COVID-19 pandemic on healthcare delivery. Recent articles explore topics such as regional disparities in home healthcare resources and the characteristics of patients receiving care during crises. He employs a variety of methodologies, including retrospective cohort studies and machine learning models, to assess healthcare outcomes and service utilization.

Articles (14)

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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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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University of Tsukuba

JAPAN

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Yu Sun

Research Interests

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Articles (14)

Changes in Characteristics and Outcomes of Newly Initiated Physician-Led Home Visit Care Before and During the Coronavirus Disease 2019 Pandemic: A Multicenter Retrospective Study in Japan

Reply to comment on “Regional disparities in home health care utilization for older adults and their associated factors at the secondary medical area level: A nationwide study in Japan”

Regional Disparities in Japan’s Home Healthcare Resources: A Retrospective Observational Study Using Nationwide Data from 2014 to 2020

Association between chronic diseases and severe periodontal disease progression: A retrospective cohort study in a city of Japan

Regional disparities in home health care utilization for older adults and their associated factors at the secondary medical area level: A Nationwide study in Japan

Characteristics of cancer patients dying at home during the COVID‐19 pandemic: A study based on vital statistics from 2015 to 2022 in Japan

Association between types of home healthcare and emergency house calls, hospitalization, and end-of-life care in Japan.

Evaluation of enhanced home care support clinics regarding emergency home visits, hospitalization, and end-of-life care: a retrospective cohort study in a city of Japan.

The Effect of Home Care Support Clinics on Hospital Readmission in Heart Failure Patients in Japan.

Machine learning models predicting undertriage in telephone triage

Comparison of the Characteristics and Outcomes of COVID-19 Patients Treated by a Hospital-at-Home Service in Japan during the Alpha and Delta Waves

Development and validation of a risk score to predict the frequent emergency house calls among older people who receive regular home visits

Diagnostic performance of microscopic stool examination in <i>Campylobacter</i> infection performed by different medical specialties

Factors associated with psychological distress in family caregivers: Findings from nationwide data in Japan

Collaborators (5)

Masaru Sanuki

Atsushi Miyawaki

Ayaka Sakamoto

Jun Hamano

Ryota Inokuchi

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