Experienced Nurse & Master of Data Science | Specialized in Oncology, ICU, and Emergency Nursing | Passionate about Data Science, Data Analysis, ML, DL and NLP.
I am a Registered Nurse at the National Taiwan University Cancer Center, dedicated to bridging the gap between clinical nursing and data science. I received my M.S. in Data Science from Taipei Medical University in 2024. My primary research interests lie at the intersection of oncology and intensive care nursing, leveraging clinical natural language processing and data-driven approaches to optimize digital health systems and improve patient outcomes.
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Annual Leave Week Booking System (年休週預假系統) — Google Apps Script + Sheets + HTML/CSS/JS. Features: secure token login (mobile-friendly), role-based views, conflict detection, waitlist, audit log, calendar/PNG export, and privacy-by-default.
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TMS Hours Analytics (TMS時數分析) — ETL pipelines to consolidate training hours from multiple sources; dashboards for individual/staff-wide compliance, monthly/annual rollups, threshold alerts, and CSV/PDF exports.
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Paxlovid QA Education System (Gemini RAG + Chainlit on GCP) — Gemini LLM with RAG; Chainlit web UI; Dockerized and deployed on Google Cloud Run; Vertex AI endpoints; Artifact Registry for CI/CD; retrieval over curated clinical guidance with grounded answers and citations.
- Huang, Y. Z., Chen, Y. M., Lin, C. C., Chiu, H. Y., & Chang, Y. C. (2024). A nursing note-aware deep neural network for predicting mortality risk after hospital discharge. International journal of nursing studies, 156, 104797. https://doi.org/10.1016/j.ijnurstu.2024.104797
- Huang, Y. Z., & Kuan, C. C. (2022). Vaccination to reduce severe COVID-19 and mortality in COVID-19 patients: a systematic review and meta-analysis. European review for medical and pharmacological sciences, 26(5), 1770–1776. https://doi.org/10.26355/eurrev_202203_28248
- Huang, YZ., Peng, TC., Lin, HY., Sy, E., Chang, YC. (2025). Enhancing Automated De-identification of Pathology Text Notes Using Pre-trained Language Models. In: Jonnagaddala, J., Dai, HJ., Chen, CT. (eds) Large Language Models for Automatic Deidentification of Electronic Health Record Notes. IW-DMRN 2024. Communications in Computer and Information Science, vol 2148. Springer, Singapore. https://doi.org/10.1007/978-981-97-7966-6_2
- Yong-Zhen Huang, Eugene Sy, Yi-Xuan Lin, Yu-Lun Hsieh and Yung-Chun Chang (2023). TMUNLP at the NTCIR-17 MedNLP-SC Task. Proceedings of the 17th NTCIR conference on evaluation of information access technologies. https://doi.org/10.20736/0002001287