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Personal profile

Education

  • 2017 陽明大學生物醫學資訊研究所博士
  • 2010 陽明大學生物醫學資訊研究所碩士
  • 2004 臺灣大學藥學系學士

Experience

  • 臺北醫學大學 健康資訊科技國際研究中心助理研究員
  • 財團法人藥害救濟基金會藥物安全組組員
  • 財團法人慈濟綜合醫院大林分院資訊藥師

Research Interests

  • 醫療人工智慧
  • 臨床決策支援
  • 藥物流行病學
  • 醫學資訊

Fingerprint Dive into the research topics where Hsuan-Chia Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Wireless Technology Medicine & Life Sciences
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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2019

新聘教師研究補助

Yang, H.

1/1/1912/31/19

Project: B - Project of TMUg - Research Grants for Newly Hired Faculty

Research Output 2015 2019

  • 186 Citations
  • 7 h-Index
  • 34 Article
  • 10 Editorial
  • 3 Conference contribution

An artificial intelligence approach to early predict non-ST-elevation myocardial infarction patients with chest pain

Wu, C. C., Hsu, W. D., Islam, M. M., Poly, T. N., Yang, H. C., Nguyen, P. AA., Wang, Y. C. & Li, Y. CJ., May 1 2019, In : Computer Methods and Programs in Biomedicine. 173, p. 109-117 9 p.

Research output: Contribution to journalArticle

Artificial Intelligence
Chest Pain
Artificial intelligence
Neural networks
Neural Networks (Computer)

A probabilistic model for reducing medication errors: A sensitivity analysis using Electronic Health Records data

Huang, C. Y., Nguyen, P. A., Yang, H. C., Islam, M. M., Liang, C. W., Lee, F. P. & (Jack) Li, Y. C., Mar 1 2019, In : Computer Methods and Programs in Biomedicine. 170, p. 31-38 8 p.

Research output: Contribution to journalArticle

Medication Errors
Electronic Health Records
Statistical Models
Sensitivity analysis
Prescriptions
1 Citation (Scopus)

Association between gout and cardiovascular disease risk: A nation-wide case-control study

Liang, C-W., Islam, M. M., Poly, T. N., Yang, H-C. & Jack Li, Y-C., May 2019, In : Joint Bone Spine.

Research output: Contribution to journalArticle

Quality of Health Care
Patient Safety
Patient Satisfaction
Patient Care
Learning
Deep learning