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Personal profile

Education

  • 2009 Ph.D., Institute of Computer Science and Information Engineering, National Central University, Taiwan
  • 2003 M.S., Institute of Information Management, Yuan Ze University
  • 2001 B.S., Department of Information Management, National Central University

Experience

  • 2019- Director, Clinical Data Science, Taipei Medical University
  • 2019- Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
  • 2019- Associate Professor, Professional Master Program for Artificial Intelligence in Medicine, Taipei Medical University  
  • 2018- Dean, Office of Information Technology, Taipei Medical University
  • 2016-2019 Associate professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
  • 2012-2016 Assistant professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
  • Postdoctoral Fellow, Institute of Bioinformatics and Systems Biology, National Chiao Tung University

Research Interests

  • Bioinformatics
  • Data Mining
  • Genomics

URL

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Projects

基於深度學習與機器學習混合分析多體學數據於癌症精準醫學治療之應用評估(1/2)

Chang, T.

8/1/207/1/21

Project: A - Government Institutionb - Ministry of Science and Technology

Deep Learning-based analysis with Multi-Omics data for prognosis prediction of Prostate Cancer

Chang, T.

7/1/192/1/20

Project: A - Government Institutionb - Ministry of Science and Technology

An integrated system for detection and dynamic visualization of copy number aberrations from high-throughput whole-exome sequencing

Chang, T.

8/1/167/31/17

Project: A - Government Institutionb - Ministry of Science and Technology

Research Output

  • 1625 Citations
  • 17 h-Index
  • 67 Article
  • 5 Conference contribution
  • 1 Letter
  • 1 Review article

A patient-oriented, general-practitioner-level, deep-learning-based cutaneous pigmented lesion risk classifier on a smartphone

Chin, Y. P. H., Hou, Z. Y., Lee, M. Y., Chu, H. M., Wang, H. H., Lin, Y. T., Gittin, A., Chien, S. C., Nguyen, P. A., Li, L. C., Chang, T. H. & Li, Y. C. J., Jan 1 2020, (Accepted/In press) In : British Journal of Dermatology.

Research output: Contribution to journalLetter

1 Citation (Scopus)

Computational analysis for identification of the extracellular matrix molecules involved in endometrial cancer progression

Yadav, V. K., Lee, T. Y., Hsu, J. B. K., Huang, H. D., Yang, W. C. V. & Chang, T. H., Apr 2020, In : PLoS ONE. 15, 4, e0231594.

Research output: Contribution to journalArticle

Open Access
  • Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication

    Lee, T. Y., Huang, K. Y., Chuang, C. H., Lee, C. Y. & Chang, T. H., Aug 2020, In : Computational Biology and Chemistry. 87, 107277.

    Research output: Contribution to journalArticle

  • Pilot Study to Establish a Novel Five-Gene Biomarker Panel for Predicting Lymph Node Metastasis in Patients With Early Stage Endometrial Cancer

    Huang, C. Y., Liao, K. W., Chou, C. H., Shrestha, S., Yang, C. D., Chiew, M. Y., Huang, H. T., Hong, H. C., Huang, S. H., Chang, T. H. & Huang, H. D., Jan 21 2020, In : Frontiers in Oncology. 9, 1508.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Citations (Scopus)
    Open Access