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Communications Medicine|March 26, 2026
Optimizing prompting strategies improves large language model classification of pain- and fatigue-related functional impact in childhood cancer survivorsJin-Ah Sim, Madeline R Horan, Xiaolei Huang, et al.
Cancers|February 25, 2023
Ten Considerations for Integrating Patient-Reported Outcomes into Clinical Care for Childhood Cancer SurvivorsMadeline R Horan, Jin-Ah Sim, Kevin R Krull, et al.
BMC Palliative Care|March 7, 2018
Development and validation of the quality care questionnaire -palliative care (QCQ-PC): patient-reported assessment of quality of palliative careYoung Ho Yun, Eun Kyo Kang, Jihye Lee, et al.
Psycho-Oncology|May 16, 2023
Response-shift effects in childhood cancer survivors: A prospective studyI-Chan Huang, Jin-Ah Sim, DeoKumar Srivastava, et al.
BMC Cancer|July 22, 2016
Prognostic value of quality of life score in disease-free survivors of surgically-treated lung cancerYoung Ho Yun, Young Ae Kim, Jin Ah Sim, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|February 25, 2016
Health-Related Quality of Life and Sociodemographic Characteristics as Prognostic Indicators of Long-term Survival in Disease-Free Cervical Cancer SurvivorsMi-Kyung Kim, Jin Ah Sim, Young Ho Yun, et al.
JCO Clinical Cancer Informatics|January 18, 2020
Negligible Effects of the Survey Modes for Patient-Reported Outcomes: A Report From the Childhood Cancer Survivor StudyJin-Ah Sim, Geehong Hyun, Todd M Gibson, et al.
Scientific Reports|June 5, 2026
Clinical outcomes and healthcare utilization in very elderly patients with pneumonia: an analysis of korean national health insurance claims databaseSooim Sin, Hak Jun Kim, Daseul Park, et al.
Journal of Medical Internet Research|November 3, 2021
Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation StudyZhaohua Lu, Jin-Ah Sim, Jade X Wang, et al.
JMIR AI|June 11, 2026
A Structured Comparison of the Coalition for Health AI Responsible AI Guide and South Korea's Trustworthy AI Guideline for Health Care AI Assurance: Comparative Framework AnalysisTrevor Vigeant, Aidan Tam, Qiming Shi, et al.
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