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Shuh‐Jen Sheu

Biographic Data

ID7736080
NAMEShuh‐Jen Sheu
GIVEN NAMESShuh‐Jen
FAMILY NAMESheu
SIGNATURESHEU S J
AFFILIATIONSNational Yang Ming University Hospital
ORCID0000-0003-4247-7758
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Using large language models to assist qualitative thematic analysis of student reflections on advance care planning education

    Open Access•Sheng-Yang Huang, Yu-Ju Lin et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Advance care planning (ACP) education has gained importance since Taiwan’s 2019 Patient Right to Autonomy Act, which empowers individuals to make advance medical decisions. Yet younger populations remain unfamiliar with ACP. This study examined how large language models (LLMs) can assist in qualitative thematic analysis of 1,761 reflection cards written by college students after an interactive ACP lecture. METHODS: Four LLMs—GPT-4, Ge…

  • Decision-Making Process for Choosing an Elective Cesarean Delivery Among Primiparas in Taiwan

    Open Access•Shiou-Yun Huang, Shuh-Jen Sheu et al.•ARTICLE•Maternal and Child Health Journal•2012

No prominent works on this page.

  • Decision-Making Process for Choosing an Elective Cesarean Delivery Among Primiparas in Taiwan

    Open Access•Shiou-Yun Huang, Shuh-Jen Sheu et al.•ARTICLE•Maternal and Child Health Journal•2012

  • Using large language models to assist qualitative thematic analysis of student reflections on advance care planning education

    Open Access•Sheng-Yang Huang, Yu-Ju Lin et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Advance care planning (ACP) education has gained importance since Taiwan’s 2019 Patient Right to Autonomy Act, which empowers individuals to make advance medical decisions. Yet younger populations remain unfamiliar with ACP. This study examined how large language models (LLMs) can assist in qualitative thematic analysis of 1,761 reflection cards written by college students after an interactive ACP lecture. METHODS: Four LLMs—GPT-4, Ge…

Advance care planning (1 works) · Assisted Reproductive Technology and Twin Pregnancy (1 works) · Cesarean delivery (1 works) · Cultural Competency in Health Care (1 works) · Curriculum (1 works) · Decision-making (1 works) · Family medicine (1 works) · Maternal and fetal healthcare (1 works) · Maternal and Perinatal Health Interventions (1 works) · Medicine (1 works)

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