National Yang Ming Chiao Tung University

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Su Chia Yu (Emily) / 蘇家玉

Institute of Biomedical Informatics

 67391
 02-2820-2508
 emilysu@nycu.edu.tw

Current Position


Professor,  Institute of Biomedical Informatics , National Yang Ming Chiao Tung University


Academic Degrees


Ph.D., Bioinformatics Program, Taiwan International Graduate Program (TIGP), Academia Sinica (in cooperation with Institute of Bioinformatics, National Chiao Tung University)

M.S., Department of Computer Science and Information Engineering, National Taiwan University 

B.S., Department of Information and Computer Education (minor in English), National Taiwan Normal University 


Experience 


2024/08 ~ present  Adjunct Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University 

2022/08 ~ 2024/07  Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University 

2022/08 ~ 2024/07  Jointly Appointed Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University 

2022/08 ~ 2024/07  Jointly Appointed Professor, Clinical Big Data Research Center, Taipei Medical University Hospital  

2021/11 ~ present  Director, Taiwan Association for Medical Informatics, Taipei  

2017/08 ~ 2022/07  Associate Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University 

2019/08 ~ 2022/07  Jointly Appointed Associate Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University 

2018/08 ~ 2022/07  Jointly Appointed Associate Professor, Clinical Big Data Research Center, Taipei Medical University Hospital 

2015/12 ~ 2019/11  Supervisor, Taiwan Association for Medical Informatics, Taipei 

2009/08 ~ 2017/07  Assistant Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University 

2010/11~2010/12  Visiting Scientist, National Institutes of Health (NIH), Bethesda, USA 

2009/11~2011/11  Secretary-General, Taiwan Association for Medical Informatics, Taipei  

2009/03 ~ 2009/07  Postdoctoral Fellow, Institute of Information Science, Academia Sinica 


Teaching Experience

“Introduction to Computational Thinking & Programming Design,” “Introduction to Data Science in Python,” “Data Visualization,” “Biomedical Literature Mining,” “Introduction to Machine Learning,” “Bioinformatics in Precision Medicine,” “Structural Bioinformatics,” and “Application of artificial intelligence in medicine,” Graduate Institute of Biomedical Informatics, Taipei Medical University (2009 ~ present) [in English] 

“Introduction to Bioinformatics,” “Introduction to Artificial Intelligence,” “Introduction to Precision Medicine,” Taipei Medical University (2009 ~ present) 

“Introduction to Data Structures,” “Introduction to Algorithms,” and “Sequence Analysis,” Bio logical Computing I, Bioinformatics Program, Taiwan International Graduate Program, Academia Sinica (2008 ~ 2013) [in English] 

“Python Programming,” Python Programming, Bioinformatics Program, Taiwan International Graduate Program, Academia Sinica (2008 ~ 2013) [in English] 


Research Interests 


Medical Informatics, Machine Learning, Clinical Decision Support, Infodemiology, Text Mining, Natural Language Processing, Computational Biology, Structural Bioinformatics, Information Retrieval/Extraction, Immunoinformatics  


Selected Publications


  • Yin WJ, Hsu JW, Chen CC, Su ECY, Wang SY, Chen YJ, Chen YC (2025, Mar). Early-Life Risks of Central Precocious Puberty, Endocrine Practice, 2025 (in press) (SCI, IF=3.700, 62/186=33.3%, ENDOCRINOLOGY & METABOLISM)
  • Lee CC, Kuo CY, Wang SM, Lee JC, Lin LW, Liou SC, Su ECY*, Chen YW* (2025, Apr). Does Visual Phosphenes Associate with Fraction Dose of Radiotherapy? Therapeutic Radiology and Oncology, 2025 (in press)
  • Nanda JD, Yeh TM, Satria RD, Jhan MK, Wang YT, Lin YL, Sufriyana H, Su ECY, Lin CF and Ho TS (2025, Apr). Dengue virus non-structural protein 1 binding to thrombin as a dengue severity marker: Comprehensive patient analysis in south Taiwan, Journal of Microbiology, Immunology and Infection, 58(2):198-208. (SCI, IF=4.500, 23/132=17.4%, INFECTIOUS DISEASES)
  • Sufriyana H, Amani FZ, Al Hajiri AZ, Wu YW, Su ECY* (2025, Mar) Widely accessible prognostication using medical history for fetal growth restriction and small for gestational age in nation wide insured women, Scientific Reports, 15(1):8340-8351 (SCI, IF=3.800, 25/134=18.7%, MUL TIDISCIPLINARY SCIENCES)
  • Sufriyana H, Chen C, Chiu HS, Sumazin P, Yang PY, Kang JH*, Su ECY* (2025, Mar). Estimating individual risk of catheter-associated urinary tract infections using explainable artificial intelligence on clinical data, American Journal of Infection Control, 53(3): 368-374 (SCI, IF=3.800, 67/403=16.6%, PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH) 
  • Rayguru C, Husnayain A, Chiu HS, Sumazin P, Su ECY* (2025, Feb). Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states, Computers in Biology and Medicine, 185:109493-109499. (SCI, IF=7.000, 2/65=3.1%, MATHEMATICAL & COMPUTA TIONAL BIOLOGY) 
  • Wu YC, Su ECY, Hou JH, Lin CJ, Lin KB, Chen CH (2025, Jan). Artificial intelligence and assisted reproductive technology: A comprehensive systematic review, Taiwanese Journal of Obstetrics & Gynecology, 64(1):11-26. (SCI, IF= 2.000, 63/136=46.3%, OBSTETRICS & GYNE COLOGY)
  • Kuo CY, Su ECY, Yeh HL, Yeh JH, Chiu HC, Chung CC (2024, Dec). Predictive modeling and interpretative analysis of risks of instability in patients with Myasthenia Gravis requiring intensive care unit admission, Heliyon, 10(24):e41084- e41096. (SCI, IF=3.400, 28/134=20.9%, MULTI DISCIPLINARY SCIENCES)
  • Nugroho D, Adisaputro K, Sigilipoe M, Triastuti I, Hutomo S, Septarda A, Yuwono A, Yusuf C, Sulistiawan D, Gusbela B, Hsu JC*, Su ECY* (2024, Aug). Exploring disparities of teleconsultation readiness: A comparative analysis of healthcare facilities in Indonesia. Digital Health, 10:1-8 (SCI, IF=2.900, 54/174=31.0%, HEALTH CARE SCIENCES & SERVICES)
  • Srivastava P, Yadav VK, Chang TH, Su ECY, Lawal B, Wu ATH, Huang HS* (2024, Jun). In-silico analysis of TMEM2 as a pancreatic adenocarcinoma and cancer-associated fibroblast biomarker, and functional characterization of NSC777201, for targeted drug development. Am J Cancer Res, 14(6):3010-3035 (SCI, IF=3.600, 106/322=32.9%, ONCOLOGY)
  • Kuo CY, Yang WW and Su ECY* (2024, Mar). Improving dengue fever predictions in Taiwan based on feature selection and random forests. BMC Infectious Diseases, 24(Suppl 2):334-344. (SCI, IF=3.400, 47/132 =35.6%, INFECTIOUS DISEASES)
  • Vidyanti AN, Satiti S, Khairani AF, Fauzi AR, Hardhantyo M, Sufriyana H and Su ECY* (2023, Dec). Symptom-based scoring technique by machine learning to predict COVID-19: a validation study. BMC Infectious Diseases, 23(1):871-881 (SCI, IF=3.400, 47/132 =35.6%, INFECTIOUS DISEASES) 
  • Yuliana ME, Chou HC, Su ECY, Chuang HC, Huang LT and Chen CM (2023, Dec). Uteroplacental insufficiency decreases leptin expression and impairs lung development in growth-restricted newborn rats. Pediatric Research (2023) (SCI, IF=3.600, 23/130=17.7%, PEDIATRICS) 
  • Su ECY and Wu HM (2023, Dec). Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach. Computational Statistics, 39: 1937-1969 (SCI, IF=1.300, 70/125=56.0%, STATISTICS & PROBABILITY)
  • Sufriyana H, Wu YW and Su ECY* (2023, May). Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication. Neural Networks, 162:99-116. (SCI, IF=9.657, 23/274=8.4%, NEUROSCIENCES). 
  • Chen YT#, Su ECY #, Hung FM, Hiramatsu T, Hung TZ and Kuo CY (2023, May). Constructing a Learning Curve to Discuss the Medical Treatments and the Effect of Vaccination of COVID-19. Healthcare, 11(11), 1591-1604. (SCI, IF=3.160, 50/109=45.9%, HEALTH CARE SCIENCES & SERVICES). 
  • Chung CC, Su ECY, Chen JH, Chen YT and Kuo CY (2023, Feb). XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke. Diagnostics, 13(5), 842-854. (SCI, IF=3.992, 60/172=34.9%, MEDICINE, GENERAL & INTERNAL). 
  • Susanty S, Sufriyana H, Su ECY* and Chuang YH* (2023, Jan). Questionnaire-free ma chine-learning method to predict depressive symptoms among community-dwelling older adults, PLoS One, 18(1):e0280330-e0280352. (SCI, IF=3.752, 29/73=39.7%, MULTIDISCIPLINARY SCIENCES).
  •  Widyasari V, Lee CCB, Lin KH, Husnayain A, Su ECY* and Wang JY* (2022, Oct). Effects of the Government Response and Community Mobility on the COVID-19 Pandemic in Southeast Asia. Healthcare, 10(10):2003-2016. (SCI, IF=3.160, 50/109=45.9%, HEALTH CARE SCIENC ES & SERVICES). 
  •  Sufriyana H, Salim HM, Muhammad AR, Wu YW and Su ECY* (2022, Aug). Blood biomarkers representing maternal-fetal interface tissues used to predict early-and late-onset preeclampsia but not COVID-19 infection. Computational and Structural Biotechnology Journal, 20:4206-4224. (SCI, IF=6.155, 70/296=23.6%, BIOCHEMISTRY & MOLECULAR BIOLOGY).
  • Wang CW, Kou CY, Chen CH and Su ECY* (2022, May). Predicting Clinical Pregnancy Using Clinical Features and Machine Learning Algorithms in In Vitro Fertilization. PLoS One, 17(6):e0267554-e0267570. (SCI, IF=3.752, 29/73=39.7%, MULTIDISCIPLINARY SCIENCES)