每年專案
個人檔案
學歷
- 2009 中央研究院國際研究生院生物資訊學程(與交通大學 生物資訊研究所合辦)博士
- 2003 臺灣大學資訊工程研究所碩士
- 2001 臺灣師範大學資訊教育系學士
經歷
- 2022- 臺北醫學大學醫學院人工智慧醫療碩士在職專班教授
- 2022- 臺北醫學大學醫學資訊研究所教授
- 2019-2022 臺北醫學大學醫學院人工智慧醫療碩士在職專班副教授
- 2017-2022 臺北醫學大學醫學資訊研究所副教授
- 2009-2017 臺北醫學大學醫學資訊研究所助理教授
- 2009 中央研究院 資訊科學研究所 博士後研究員
獎項
- 103學年第2學期 院級 教學優良教師
- 102學年第2學期 系所級 教學優良教師
- 100學年第2學期 院級 優良導師
- 99學年第2學期 院級 教學優良教師
研究興趣
- 生物資訊
- 醫學資訊
- 資料探勘
- 自然語言
- 免疫資訊學
- 蛋白質體學
相關連結
指紋
- 1 類似的個人檔案
網路
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Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication
Sufriyana, H., Wu, Y-W. & Su, E. C-Y., 2月 2023, (打印前電子出版) 於: Neural Networks. 162, p. 99-116 18 p.研究成果: 雜誌貢獻 › 文章 › 同行評審
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Questionnaire-free machine-learning method to predict depressive symptoms among community-dwelling older adults
Susanty, S., Sufriyana, H., Su, E. C. Y. & Chuang, Y. H., 1月 2023, 於: PLoS ONE. 18, 1 January, e0280330.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取 -
XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
Chung, C-C., Su, E. C-Y., Chen, J-H., Chen, Y-T. & Kuo, C-Y., 2月 2023, 於: Diagnostics. 13, 5研究成果: 雜誌貢獻 › 文章 › 同行評審
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Blood biomarkers representing maternal-fetal interface tissues used to predict early-and late-onset preeclampsia but not COVID-19 infection
Sufriyana, H., Salim, H. M., Muhammad, A. R., Wu, Y. W. & Su, E. C. Y., 1月 2022, 於: Computational and Structural Biotechnology Journal. 20, p. 4206-4224 19 p.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取1 引文 斯高帕斯(Scopus) -
Effects of the Government Response and Community Mobility on the COVID-19 Pandemic in Southeast Asia
Widyasari, V., Lee, C. B., Lin, K. H., Husnayain, A., Su, E. C. Y. & Wang, J. Y., 10月 2022, 於: Healthcare (Switzerland). 10, 10, 2003.研究成果: 雜誌貢獻 › 文章 › 同行評審
開啟存取
資料集
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Additional file 6: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Su, E. C. (Creator) & Singh, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3652448_d5.v1, https://doi.org/10.6084%2Fm9.figshare.c.3652448_d5.v1
資料集: Dataset
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Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Creator) & Su, E. C. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3652448.v1, https://doi.org/10.6084%2Fm9.figshare.c.3652448.v1
資料集: Dataset
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Additional file 5 of Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women
Tsai, K. (Contributor), Chang, C. (Creator), Chang, Y. (Creator), Lu, Y. (Creator), Tsai, I. (Contributor), Chen, J. (Creator), Lin, S. (Creator), Tai, C. (Contributor), Lin, Y. (Creator), Chang, H. (Creator), Lin, C. (Creator) & Su, E. C. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.13889400.v1, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Isotypes_of_autoantibodies_against_novel_differential_4-hydroxy-2-nonenal-modified_peptide_adducts_in_serum_is_associated_with_rheumatoid_arthritis_in_Taiwanese_women/13889400/1
資料集: Dataset
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Additional file 4 of Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women
Tsai, K. (Contributor), Chang, C. (Creator), Chang, Y. (Creator), Lu, Y. (Creator), Tsai, I. (Contributor), Chen, J. (Creator), Lin, S. (Creator), Tai, C. (Contributor), Lin, Y. (Creator), Chang, H. (Creator), Lin, C. (Creator) & Su, E. C. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.13889397.v1, https://springernature.figshare.com/articles/presentation/Additional_file_4_of_Isotypes_of_autoantibodies_against_novel_differential_4-hydroxy-2-nonenal-modified_peptide_adducts_in_serum_is_associated_with_rheumatoid_arthritis_in_Taiwanese_women/13889397/1
資料集: Dataset
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Additional file 3: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Su, E. C. (Creator) & Singh, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3652448_d3.v1, https://doi.org/10.6084%2Fm9.figshare.c.3652448_d3.v1
資料集: Dataset